Senior Level Enterprise Data Architect Jobs
Senior level enterprise data architect jobs put seasoned professionals in charge of enterprise-wide data strategy, governance frameworks, and the cross-functional teams that bring those architectures to life. Roles are concentrated across Technology & Software, Science & Research, and Insurance, with 29% offering remote or hybrid work, and employers like Revel IT, Knoll, and OpenAI hiring at this level now.
Find JobsOverview
Showing 5 of 20+ Senior Level Enterprise Data Architect jobs


We're looking for an experienced Enterprise Data & Analytics Architect to help shape the future of enterprise data, business intelligence, and cloud analytics. In this highly visible leadership role, you'll define the technical vision for our Enterprise Data & Analytics ecosystem while driving modernization, scalability, and performance across our data platforms.
If you're passionate about data architecture, cloud transformation, and turning information into meaningful business insights, this is an opportunity to make a lasting impact.
What You'll Do
- Lead the architecture, design, and optimization of enterprise data platforms across on-premises and Azure cloud environments.
- Drive data modernization initiatives, including migration of legacy systems to Azure Data Factory, Databricks, Synapse Analytics, and Apache Spark.
- Design scalable data models, ETL/ELT pipelines, data warehouses, and reporting solutions that support enterprise decision-making.
- Provide technical leadership and mentorship to data engineers, developers, and BI professionals.
- Partner with business leaders to translate complex requirements into innovative data solutions.
- Establish best practices for data governance, performance optimization, source control, code reviews, and deployment processes.
- Develop enterprise reporting and analytics solutions utilizing SQL Server, Power BI, SSRS, and Azure technologies.
- Monitor and support production environments to ensure data reliability, availability, and performance.
- Stay current with emerging trends in cloud computing, artificial intelligence, data engineering, and analytics.
Education
- Bachelor's degree in Computer Science, Information Technology, Data Analytics, or a related field (or equivalent combination of education and experience).
- 8–10 years of experience designing and supporting enterprise OLTP and OLAP database environments.
- 8+ years of ETL development using SSIS and/or Azure Data Factory.
- 8+ years of enterprise reporting and business intelligence experience using Power BI and SSRS.
- Advanced expertise with Microsoft SQL Server (2016+) and Azure data services.
- Experience working within Agile and Scrum environments.
- Preferred experience with Python, PowerShell, C#, .NET, Databricks, and modern data engineering frameworks.
- Competitive compensation and comprehensive benefits package
- 18 days of PTO in your first year plus 12 paid holidays
- 6% 401(k) match
- Medical, dental, vision, life, and disability coverage
- Collaborative, mission-driven culture recognized as one of San Diego's best places to work
- Opportunities to innovate, grow, and make a meaningful impact on the financial lives of our members and community
Base Pay/Salary: *$120,000 - $140,000 per year
- Actual base pay within this range will be determined by several components, including but not limited to, relevant experience, internal equity, skills, qualifications, and other job-related factors permitted by law.
#INDMF
Your privacy is very important to Mission Federal Credit Union. The California Consumer Privacy Act (“CCPA”)/ California Privacy Rights Act (CPRA) requires Mission Federal Credit Union to inform California residents, including job applicants, of the categories of personal information we collect and the purpose for which the personal information will be used. This job applicant notice and the CCPA/CPRA notice provides the disclosures required by the CCPA/CPRA and applies only to applicants who are subject to the CCPA/CPRA.
Mission Federal Credit Union is an Equal Opportunity Employer. All applicants will receive consideration without regard to race, sex, color, creed, religion, age, marital status, sexual orientation, national origin, physical or mental disability, veteran status, or any other class protected by law.
See All 20 Senior Level Enterprise Data Architect Jobs
Find roles that match your experience and apply in just a few clicks.
Find JobsSenior Level Enterprise Data Architect Job Market
Who's Hiring
- Revel IT2

- Knoll1

- OpenAI1
- Cellares1

- Snowflake1
Top Industries Hiring
- Technology & Software6
- Science & Research2
- Insurance1
- Fashion & Apparel1
- Hospitality & Tourism1
Senior Level Enterprise Data Architect Jobs: Frequently Asked Questions
How do I get a senior level enterprise data architect job?
Employers at this level look for candidates who can own the full data architecture lifecycle, not just execute designs handed down from above. Demonstrating that you have led enterprise-scale migrations, established governance standards across business units, and mentored junior architects gives you a clear edge. A portfolio of delivered outcomes, not just technical credentials, is what moves a senior-level candidacy forward.
Which companies hire senior level enterprise data architects?
Companies hiring senior level enterprise data architects right now include Revel IT, Knoll, and OpenAI, based on current listings on Migrate Mate as of July 2026. Hiring at this level tends to concentrate in large enterprises and fast-scaling organizations that need architects who can set direction rather than simply implement it.
Are there remote senior level enterprise data architect jobs?
Yes, though availability varies by employer and industry. About 29% of senior level enterprise data architect openings are remote or hybrid as of July 2026, reflecting demand for experienced architects who can collaborate across distributed teams. Fully on-site roles do exist, particularly in regulated industries where data governance requires closer oversight.
What makes an enterprise data architect role senior level?
Senior level roles are defined by scope, ownership, and influence. Where mid-level architects work within established frameworks, senior architects define those frameworks, set governance standards, and are accountable for outcomes across the organization. They are expected to mentor junior team members, engage directly with stakeholders and executive leadership, and drive technical decisions that shape the long-term data strategy.
Which industries hire the most senior level enterprise data architects?
Senior level enterprise data architect roles concentrate in Technology & Software, Science & Research, and Insurance, based on current listings on Migrate Mate as of July 2026. These sectors tend to operate at a scale and complexity that demands architects who can design and govern data infrastructure capable of supporting enterprise-wide decision-making and compliance requirements.