Data Architect Jobs
Data Architect jobs are open across financial services, healthcare, technology, retail, and the public sector, from associate to principal and distinguished levels, with specializations in cloud architecture, data governance, and enterprise data modeling. Find a role that fits from the openings below and apply directly.
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Open roles800+
Top stateCalifornia
Top employerAmazon Web Services
Top citySan Francisco, CA
Work type41% On-site
Top industryTechnology
Showing 5 of 800+ 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
Data Architect
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Added 1d ago
Methodist Le Bonheur Healthcare
Data Architect
Memphis, Tennessee
Added 1d ago
Data Architect
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J2B GLOBAL LLC
Data Architect
Alpharetta, Georgia
Added 1d ago
Senior Data Architect
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Xinnovit
Senior Data Architect
Saint Paul, Minnesota
Added 1d ago
Data Architect – AWS (Pharma Domain)
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KPRMT Global solutions
Data Architect – AWS (Pharma Domain)
San Francisco Bay Area, California
Added 1d 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
Data Architect Jobs by Experience Level
Top Cities Hiring Data Architects
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Find Data Architect JobsData Architect Job Market
Who's Hiring
- Amazon Web Services20
- NVIDIA9
- JPMorganChase9
- Booz Allen Hamilton9
- Capgemini8
Top Industries Hiring
- Technology & Software101
- Consulting & Professional Services37
- Healthcare & Medical Services17
- Insurance16
- Construction & Real Estate14
What Employers Look For
The qualifications that appear most often in data architect jobs.
- 7 or more years of experience in data engineering, data modeling, or database architecture roles
- Proficiency in cloud data platforms such as Snowflake, Azure Synapse, Google BigQuery, or Amazon Redshift
- Strong SQL skills and experience with both relational and NoSQL database design
- Experience designing dimensional models, data vaults, or enterprise data warehouse schemas
- Familiarity with data governance frameworks, metadata management, and data cataloging tools
- Bachelor's degree in computer science, information systems, or a related technical field
Tips for Your Data Architect Job Search
Tailor your resume to the stack
Data architect job listings often call out specific platforms like Snowflake, Databricks, or Azure Synapse. Mirror that exact tooling language in your resume so applicant tracking systems score you higher and hiring managers see relevance fast.
Lead with architecture decisions you owned
Hiring managers want to see that you drove design choices, not just implemented them. Name the schema approach you chose, the tradeoff you made, and the outcome. Vague phrases like 'contributed to data infrastructure' won't differentiate you.
Include a portfolio of data models
A GitHub repo or PDF showing entity-relationship diagrams, dimensional models, or data vault schemas signals real depth in a way a resume alone can't. Even anonymized or sample models demonstrate how you think about structure.
Apply early to roles that fit
Migrate Mate lists 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 cloud platform alignment
If your deep experience is in AWS, targeting Azure-only shops wastes your time and theirs. Read job descriptions for the platform mix before applying, and make your strongest cloud certifications visible at the top of your resume.
Prepare a whiteboard design walkthrough
Most data architect interviews include a live data modeling exercise. Practice talking through your design decisions out loud, explaining normalization choices, partitioning strategies, and how you'd handle schema changes as requirements evolve.
Data Architect Jobs: Frequently Asked Questions
Which companies are hiring the most data architects?
The companies hiring the most data architects right now include Amazon Web Services, NVIDIA, and JPMorganChase, with the largest share of openings in California, Texas, and Virginia, based on current listings on Migrate Mate as of August 2026. Financial services, healthcare systems, and large technology firms consistently maintain the highest volume of open roles.
How many data architect jobs are remote?
About 59% of data architect openings are fully remote or hybrid as of August 2026, making this one of the more location-flexible roles in the data field. Cloud-focused and governance-heavy specializations tend to have the highest share of remote arrangements, while on-site expectations are more common in regulated industries like healthcare and government.
How do you become a data architect?
Most data architects build toward the role through several years as a data engineer or database administrator first. From there, the path typically involves deepening expertise in data modeling methodologies, earning a cloud platform certification, and taking on architecture responsibilities in progressively larger projects. Formal credentials like a certification in cloud data services or a master's in information systems can accelerate the transition into senior architect roles.
Can you get a data architect job with little experience?
Breaking in with limited experience requires positioning yourself at the associate or junior architect level and emphasizing any hands-on modeling or pipeline design work, even from academic projects or freelance engagements. Building a visible portfolio of data models and contributing to open-source data projects signals practical ability. Targeting smaller companies or startups that need a generalist to own data architecture end-to-end gives you a realistic entry point without needing years of enterprise credentials.
What does the data architect interview process look like?
The data architect interview process typically includes an initial recruiter screen followed by a technical phone interview focused on data modeling concepts and cloud platform knowledge. A take-home or live design exercise where you model a business scenario is standard at most companies. Final rounds usually involve a panel with engineering, data science, and business stakeholders, where you walk through your design decisions and defend your approach under questioning.
Where can I find and apply to data architect jobs?
You can find and apply to data architect jobs on Migrate Mate, which lists current openings from companies across the United States. Search the listings to find roles that match your experience and specialization, then apply directly to each one that fits.
See All 800+ Data Architect Jobs
Find roles that match your experience and apply in just a few clicks.
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