Enterprise Data Architect Jobs
Enterprise Data Architect jobs are open across financial services, healthcare, retail, and technology, at every level from mid-level to principal and chief architect, with specializations in cloud data platforms, data governance, and enterprise data modeling. Find a role that fits from the openings below and apply directly.
Find JobsLooking for remote work? View remote enterprise data architect jobs →Overview
Open roles51
Top stateCalifornia
Top employerXperi
Top cityPasadena, CA
Work type45% Remote
Top industryTechnology
Showing 5 of 51+ Enterprise Data Architect jobs
Enterprise Data Security Architect
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Added 1d ago
Keysight Technologies
Enterprise Data Security Architect
Colorado Springs, Colorado
Added 1d ago
Sr Enterprise Data Architect
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Added 2d ago
Thermo Fisher Scientific
Sr Enterprise Data Architect
North Carolina
Added 2d ago
Enterprise Data Architect
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Added 5d ago
BV Teck
Enterprise Data Architect
Remote
Added 5d ago
Enterprise Data Architect
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Added 1w ago
XIT Solutions Inc.
Enterprise Data Architect
Remote
Added 1w ago
Technical Architect - Enterprise Data
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Added 2w ago
Arista Networks
Technical Architect - Enterprise Data
Dallas, Texas
Added 2w ago
Added 1d ago
Enterprise Data Security Architect
Keysight Technologies·Colorado Springs, Colorado
Job functions:
$115k - $192k/yr
Remote (US)
Bachelor's degree in engineering
10,000+ employees
Job Description
Overview:
Our award-winning culture embraces a bold vision of where technology can take us and a passion for tackling challenging problems with industry-first solutions. We believe that when people feel a sense of belonging, they can be more creative, innovative, and thrive at all points in their careers.
The Enterprise Data Security Architect is a newly created, Expert-level role responsible for defining and driving the enterprise data security strategy across modern cloud and on-premises data platforms. As part of Keysight's enterprise data and AI security initiatives, this individual will design scalable security architectures that protect enterprise data while enabling secure access, analytics, AI, and digital transformation.
Working closely with Information Security, Data Engineering, Infrastructure, Enterprise Architecture, Compliance, and business stakeholders, you'll provide technical leadership for enterprise-wide data security programs, establish governance standards, and ensure security is embedded into the design and delivery of modern data platforms. The ideal candidate combines deep expertise in both enterprise data platforms and security architecture with the ability to lead cross-functional technical initiatives and influence security strategy across the organization.
Responsibilities:
Enterprise Data Security Architecture
Technical Program Leadership
Governance & Risk Management
Collaboration & Enablement
Qualifications:
Required Qualifications
Preferred Qualifications
Visa Sponsorship is unavailable for this position.
Careers Privacy Statement
Keysight is an Equal Opportunity Employer.
Colorado Pay Range: Minimum $115,200 – Maximum $192,000
Note: For other locations, pay ranges will vary by region
US Employees may be eligible for the following benefits:
Keysight is at the forefront of technology innovation, delivering breakthroughs and trusted insights in electronic design, simulation, prototyping, test, manufacturing, and optimization. Our ~16,800 employees create world-class solutions in communications, 5G, automotive, energy, quantum, aerospace, defense, and semiconductor markets for customers in over 100 countries. Learn more about what we do.
Our award-winning culture embraces a bold vision of where technology can take us and a passion for tackling challenging problems with industry-first solutions. We believe that when people feel a sense of belonging, they can be more creative, innovative, and thrive at all points in their careers.
The Enterprise Data Security Architect is a newly created, Expert-level role responsible for defining and driving the enterprise data security strategy across modern cloud and on-premises data platforms. As part of Keysight's enterprise data and AI security initiatives, this individual will design scalable security architectures that protect enterprise data while enabling secure access, analytics, AI, and digital transformation.
Working closely with Information Security, Data Engineering, Infrastructure, Enterprise Architecture, Compliance, and business stakeholders, you'll provide technical leadership for enterprise-wide data security programs, establish governance standards, and ensure security is embedded into the design and delivery of modern data platforms. The ideal candidate combines deep expertise in both enterprise data platforms and security architecture with the ability to lead cross-functional technical initiatives and influence security strategy across the organization.
Enterprise Data Security Architecture
- Define and evolve the enterprise data security architecture, standards, and roadmap across cloud and on-premises data platforms.
- Design and implement scalable security controls for modern data platforms, including Snowflake, Microsoft Fabric, Power BI, Azure, and other cloud-native technologies.
- Develop enterprise security architectures for Identity and Access Management (IAM), Role-Based Access Control (RBAC), encryption, data masking, tokenization, and Data Loss Prevention (DLP).
- Establish security standards for structured, semi-structured, and unstructured data, including AI and analytics workloads.
- Lead security architecture reviews for new data platform initiatives and provide technical guidance to ensure secure-by-design implementations.
- Develop and maintain enterprise data classification, discovery, and protection frameworks to identify and safeguard sensitive and regulated data.
- Champion Zero Trust principles for enterprise data access and protection.
Technical Program Leadership
- Lead enterprise data security initiatives from strategy through implementation, driving execution across cross-functional teams.
- Develop implementation roadmaps, project plans, risk assessments, and executive-level status updates.
- Partner with Security, Infrastructure, Data Engineering, Analytics, Compliance, and business teams to deliver strategic security programs.
- Proactively manage project dependencies, risks, and issue resolution to ensure successful program delivery.
- Evaluate, recommend, and manage enterprise security technologies and vendor relationships in partnership with IT and Procurement.
Governance & Risk Management
- Define enterprise policies, standards, and best practices for secure data access, sharing, and governance.
- Partner with Governance, Risk, and Compliance teams to support audits, regulatory requirements, and security assessments.
- Evaluate emerging technologies and recommend security best practices for cloud, analytics, and AI platforms.
- Create and maintain architecture standards, reference designs, implementation guidance, and technical documentation.
- Support enterprise incident response and data breach investigations in partnership with Security Operations.
- Establish and report on key security and risk metrics (KPIs/KRIs) to measure program maturity and effectiveness.
- Ensure alignment with industry security frameworks, including NIST CSF, ISO 27001, and CIS Controls.
Collaboration & Enablement
- Serve as the technical leader and trusted advisor for enterprise data security across architecture, engineering, and project teams.
- Partner with stakeholders across the organization to embed security into the design and delivery of modern data platforms.
- Communicate architecture decisions, security risks, and program progress to technical and business leadership.
- Drive adoption of enterprise data security best practices across the organization.
- Deliver security awareness and enablement for Data Engineering, Analytics, and AI teams.
Qualifications:
Required Qualifications
- Bachelor's degree in Computer Science, Cybersecurity, Information Systems, Engineering, or a related technical field.
- 6+ years of experience in enterprise security, cloud security, data architecture, information security, or a related discipline, with demonstrated expertise designing and implementing enterprise-scale security solutions.
- 2+ years of experience leading or coordinating cross-functional technical initiatives, enterprise security programs, or large-scale data initiatives.
-
Deep knowledge of enterprise data security architecture, including:
- Identity and Access Management (IAM)
- Role-Based Access Control (RBAC)
- Data encryption, masking, tokenization, and other data protection techniques
- Data Loss Prevention (DLP)
- Cloud security across Azure, AWS, and/or GCP
- Data governance, privacy, and regulatory compliance
- Experience designing and securing modern cloud-based data and analytics platforms such as Snowflake, Microsoft Fabric, Power BI, Databricks, or comparable technologies.
- Proven ability to partner with Security, Infrastructure, Data Engineering, Analytics, and Enterprise Architecture teams to design and implement enterprise security solutions.
- Demonstrated ability to influence technical decisions, communicate architectural recommendations, and collaborate effectively with both technical and business stakeholders.
- Strong analytical, problem-solving, communication, and stakeholder management skills, with the ability to translate complex security concepts into practical business solutions.
Preferred Qualifications
- Professional certifications such as CISSP, CCSP, TOGAF, SABSA, Microsoft Azure Security Engineer, or SnowPro.
- Experience implementing security controls for AI/ML and Generative AI platforms and workloads.
- Hands-on experience with Microsoft security technologies, including Entra ID, Purview, Defender, Sentinel, or comparable enterprise security platforms.
- Experience with enterprise data governance capabilities, including data catalog, metadata management, data lineage, and data classification tools.
- Familiarity with enterprise architecture frameworks, Agile delivery methodologies, and DevSecOps practices.
Visa Sponsorship is unavailable for this position.
Careers Privacy Statement
Keysight is an Equal Opportunity Employer.
Keysight Technologies Inc. is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability or any other protected categories under all applicable laws.
Pay Transparency
The level of role will be based on applicable experience, education, and skills. Most offers will be between the minimum and the midpoint of the Salary Range listed below.
Colorado Pay Range: Minimum $115,200 – Maximum $192,000
Note: For other locations, pay ranges will vary by region
US Employees may be eligible for the following benefits:
- Medical, dental and vision
- Health Savings Account
- Health Care and Dependent Care Flexible Spending Accounts
- Life, Accident, Disability insurance
- Business Travel Accident and Business Travel Health
- 401(k) Plan
- Flexible Time Off, Paid Holidays
- Paid Family Leave
- Discounts, Perks
- Tuition Reimbursement
- Adoption Assistance
- ESPP (Employee Stock Purchase Plan)
- Restricted Stock Units
Keysight Technologies
Enterprise Data Security Architect
Colorado Springs, Colorado
Added 1d ago10,000+ employees
Job functions:
$115k - $192k/yr
Remote (US)
Bachelor's degree in engineering
Job Description
Overview:
Our award-winning culture embraces a bold vision of where technology can take us and a passion for tackling challenging problems with industry-first solutions. We believe that when people feel a sense of belonging, they can be more creative, innovative, and thrive at all points in their careers.
The Enterprise Data Security Architect is a newly created, Expert-level role responsible for defining and driving the enterprise data security strategy across modern cloud and on-premises data platforms. As part of Keysight's enterprise data and AI security initiatives, this individual will design scalable security architectures that protect enterprise data while enabling secure access, analytics, AI, and digital transformation.
Working closely with Information Security, Data Engineering, Infrastructure, Enterprise Architecture, Compliance, and business stakeholders, you'll provide technical leadership for enterprise-wide data security programs, establish governance standards, and ensure security is embedded into the design and delivery of modern data platforms. The ideal candidate combines deep expertise in both enterprise data platforms and security architecture with the ability to lead cross-functional technical initiatives and influence security strategy across the organization.
Responsibilities:
Enterprise Data Security Architecture
Technical Program Leadership
Governance & Risk Management
Collaboration & Enablement
Qualifications:
Required Qualifications
Preferred Qualifications
Visa Sponsorship is unavailable for this position.
Careers Privacy Statement
Keysight is an Equal Opportunity Employer.
Colorado Pay Range: Minimum $115,200 – Maximum $192,000
Note: For other locations, pay ranges will vary by region
US Employees may be eligible for the following benefits:
Keysight is at the forefront of technology innovation, delivering breakthroughs and trusted insights in electronic design, simulation, prototyping, test, manufacturing, and optimization. Our ~16,800 employees create world-class solutions in communications, 5G, automotive, energy, quantum, aerospace, defense, and semiconductor markets for customers in over 100 countries. Learn more about what we do.
Our award-winning culture embraces a bold vision of where technology can take us and a passion for tackling challenging problems with industry-first solutions. We believe that when people feel a sense of belonging, they can be more creative, innovative, and thrive at all points in their careers.
The Enterprise Data Security Architect is a newly created, Expert-level role responsible for defining and driving the enterprise data security strategy across modern cloud and on-premises data platforms. As part of Keysight's enterprise data and AI security initiatives, this individual will design scalable security architectures that protect enterprise data while enabling secure access, analytics, AI, and digital transformation.
Working closely with Information Security, Data Engineering, Infrastructure, Enterprise Architecture, Compliance, and business stakeholders, you'll provide technical leadership for enterprise-wide data security programs, establish governance standards, and ensure security is embedded into the design and delivery of modern data platforms. The ideal candidate combines deep expertise in both enterprise data platforms and security architecture with the ability to lead cross-functional technical initiatives and influence security strategy across the organization.
Enterprise Data Security Architecture
- Define and evolve the enterprise data security architecture, standards, and roadmap across cloud and on-premises data platforms.
- Design and implement scalable security controls for modern data platforms, including Snowflake, Microsoft Fabric, Power BI, Azure, and other cloud-native technologies.
- Develop enterprise security architectures for Identity and Access Management (IAM), Role-Based Access Control (RBAC), encryption, data masking, tokenization, and Data Loss Prevention (DLP).
- Establish security standards for structured, semi-structured, and unstructured data, including AI and analytics workloads.
- Lead security architecture reviews for new data platform initiatives and provide technical guidance to ensure secure-by-design implementations.
- Develop and maintain enterprise data classification, discovery, and protection frameworks to identify and safeguard sensitive and regulated data.
- Champion Zero Trust principles for enterprise data access and protection.
Technical Program Leadership
- Lead enterprise data security initiatives from strategy through implementation, driving execution across cross-functional teams.
- Develop implementation roadmaps, project plans, risk assessments, and executive-level status updates.
- Partner with Security, Infrastructure, Data Engineering, Analytics, Compliance, and business teams to deliver strategic security programs.
- Proactively manage project dependencies, risks, and issue resolution to ensure successful program delivery.
- Evaluate, recommend, and manage enterprise security technologies and vendor relationships in partnership with IT and Procurement.
Governance & Risk Management
- Define enterprise policies, standards, and best practices for secure data access, sharing, and governance.
- Partner with Governance, Risk, and Compliance teams to support audits, regulatory requirements, and security assessments.
- Evaluate emerging technologies and recommend security best practices for cloud, analytics, and AI platforms.
- Create and maintain architecture standards, reference designs, implementation guidance, and technical documentation.
- Support enterprise incident response and data breach investigations in partnership with Security Operations.
- Establish and report on key security and risk metrics (KPIs/KRIs) to measure program maturity and effectiveness.
- Ensure alignment with industry security frameworks, including NIST CSF, ISO 27001, and CIS Controls.
Collaboration & Enablement
- Serve as the technical leader and trusted advisor for enterprise data security across architecture, engineering, and project teams.
- Partner with stakeholders across the organization to embed security into the design and delivery of modern data platforms.
- Communicate architecture decisions, security risks, and program progress to technical and business leadership.
- Drive adoption of enterprise data security best practices across the organization.
- Deliver security awareness and enablement for Data Engineering, Analytics, and AI teams.
Qualifications:
Required Qualifications
- Bachelor's degree in Computer Science, Cybersecurity, Information Systems, Engineering, or a related technical field.
- 6+ years of experience in enterprise security, cloud security, data architecture, information security, or a related discipline, with demonstrated expertise designing and implementing enterprise-scale security solutions.
- 2+ years of experience leading or coordinating cross-functional technical initiatives, enterprise security programs, or large-scale data initiatives.
-
Deep knowledge of enterprise data security architecture, including:
- Identity and Access Management (IAM)
- Role-Based Access Control (RBAC)
- Data encryption, masking, tokenization, and other data protection techniques
- Data Loss Prevention (DLP)
- Cloud security across Azure, AWS, and/or GCP
- Data governance, privacy, and regulatory compliance
- Experience designing and securing modern cloud-based data and analytics platforms such as Snowflake, Microsoft Fabric, Power BI, Databricks, or comparable technologies.
- Proven ability to partner with Security, Infrastructure, Data Engineering, Analytics, and Enterprise Architecture teams to design and implement enterprise security solutions.
- Demonstrated ability to influence technical decisions, communicate architectural recommendations, and collaborate effectively with both technical and business stakeholders.
- Strong analytical, problem-solving, communication, and stakeholder management skills, with the ability to translate complex security concepts into practical business solutions.
Preferred Qualifications
- Professional certifications such as CISSP, CCSP, TOGAF, SABSA, Microsoft Azure Security Engineer, or SnowPro.
- Experience implementing security controls for AI/ML and Generative AI platforms and workloads.
- Hands-on experience with Microsoft security technologies, including Entra ID, Purview, Defender, Sentinel, or comparable enterprise security platforms.
- Experience with enterprise data governance capabilities, including data catalog, metadata management, data lineage, and data classification tools.
- Familiarity with enterprise architecture frameworks, Agile delivery methodologies, and DevSecOps practices.
Visa Sponsorship is unavailable for this position.
Careers Privacy Statement
Keysight is an Equal Opportunity Employer.
Keysight Technologies Inc. is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability or any other protected categories under all applicable laws.
Pay Transparency
The level of role will be based on applicable experience, education, and skills. Most offers will be between the minimum and the midpoint of the Salary Range listed below.
Colorado Pay Range: Minimum $115,200 – Maximum $192,000
Note: For other locations, pay ranges will vary by region
US Employees may be eligible for the following benefits:
- Medical, dental and vision
- Health Savings Account
- Health Care and Dependent Care Flexible Spending Accounts
- Life, Accident, Disability insurance
- Business Travel Accident and Business Travel Health
- 401(k) Plan
- Flexible Time Off, Paid Holidays
- Paid Family Leave
- Discounts, Perks
- Tuition Reimbursement
- Adoption Assistance
- ESPP (Employee Stock Purchase Plan)
- Restricted Stock Units
Enterprise Data Architect Jobs by Experience Level
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Find JobsEnterprise Data Architect Job Market
Who's Hiring
Top Industries Hiring
- Technology & Software
- Insurance
- Fashion & Apparel
- Science & Research
- Distribution & Wholesale
What Employers Look For
The qualifications that appear most often in enterprise data architect jobs.
- 7-plus years of experience designing and implementing enterprise-scale data architectures
- Deep hands-on expertise with cloud data platforms such as Snowflake, Databricks, or Azure Synapse
- Proficiency in data modeling disciplines including conceptual, logical, and physical design
- Experience establishing data governance frameworks, data quality standards, and metadata management practices
- Relevant certifications such as AWS Certified Data Analytics, Google Professional Data Engineer, or TOGAF
- Strong communication skills with a record of translating technical architecture decisions for executive stakeholders
Tips for Your Enterprise Data Architect Job Search
Tailor your resume to data platform specifics
Hiring managers expect your resume to name the exact platforms you've architected on, whether Snowflake, Databricks, Azure Synapse, or AWS Redshift. Generic 'cloud experience' won't move you past the screener. List your data platform choices and the business outcomes they drove.
Showcase governance and standards ownership
Enterprise data architect roles almost always require evidence that you've owned data governance frameworks, not just contributed to them. Call out specific artifacts you authored, such as data dictionaries, master data management policies, or metadata standards, and name the org size affected.
Apply early to roles that fit
Migrate Mate lists enterprise data architect openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Filter openings by architecture maturity
A greenfield architecture build and a legacy modernization engagement demand different strengths. Read job descriptions closely for phrases like 'stand up' versus 'migrate' or 'rationalize.' Target postings where the stated challenge matches the type of work you do best.
Prepare a whiteboard-ready architecture diagram
Most enterprise data architect interviews include a live design exercise. Practice sketching a scalable data platform end to end, from ingestion through transformation to consumption layer, with your tooling rationale ready. Interviewers want to see how you think, not just what you've built.
Negotiate scope before you negotiate compensation
Before accepting an offer, clarify whether you'll have authority to enforce architectural decisions or only advise. An enterprise data architect with no enforcement mandate is a different job entirely. Get the reporting structure and decision rights in writing before your start date.
Enterprise Data Architect Jobs: Frequently Asked Questions
Which companies are hiring the most enterprise data architects?
The companies hiring the most enterprise data architects right now include Xperi, Peraton, and Expleo, with the largest share of openings in California, Virginia, and Maryland, based on current listings on Migrate Mate as of August 2026. Demand is concentrated in financial services, healthcare systems, and large technology organizations undergoing cloud modernization.
How many enterprise data architect jobs are remote?
About 76% of enterprise data architect openings are fully remote or hybrid as of August 2026, reflecting strong employer flexibility for senior architecture roles. Sub-areas most likely to be fully remote include cloud platform architecture and data governance advisory work, where output is measured by documentation and decisions rather than on-site presence.
How do you become an enterprise data architect?
Start by building a foundation as a data engineer or database administrator, then progressively take ownership of architectural decisions rather than just implementation. Develop proficiency in at least one major cloud data platform, earn a recognized architecture or cloud certification, and practice creating formal architecture artifacts like data models and governance frameworks. Moving into an architect title typically requires demonstrating that you can set standards others follow, not just execute against them.
Can you get hired as an enterprise data architect with limited experience?
Hiring managers rarely consider candidates without substantial hands-on architecture experience for enterprise data architect roles, but you can build toward the title deliberately. Target associate architect or senior data engineer roles that include architecture ownership in their scope, volunteer to lead data modeling or governance initiatives in your current position, and document the architectural decisions you drove as a portfolio you can present in interviews.
What does the enterprise data architect interview process look like?
The process typically runs across four to five stages. An initial recruiter screen is followed by a hiring manager conversation focused on your architecture philosophy and past scope. A technical panel then assesses your platform knowledge, data modeling depth, and governance experience. Most processes include a live design exercise where you architect a solution to a realistic business problem on a whiteboard or shared document. A final round with senior leadership or cross-functional stakeholders tests how you communicate architectural trade-offs to non-technical audiences.
Where can I find and apply to enterprise data architect jobs?
You can find and apply to enterprise data architect jobs on Migrate Mate, which lists current openings from across the United States. Find the roles that match your experience and specialization from the listings available, then apply directly to each one that fits.
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