Senior Level Data Architect Jobs
Senior level data architect jobs place experienced professionals in charge of enterprise data strategy, platform architecture decisions, and the cross-functional teams or workstreams that deliver them. Openings are concentrated across Technology & Software, Consulting & Professional Services, and Electronics & Hardware, with 36% remote or hybrid availability, and employers like NVIDIA, Mphasis, and EXL hiring at this level now.
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Data Lead/ Architect
Location: Dallas, TX.
Position: Fulltime
Duration: Long term
Required Qualifications
- 12-15 years in data architecture, data engineering, or enterprise architecture.
- 7 or more years of hands-on development background.
- Experience with Databricks and Snowflake.
- Strong expertise in data warehousing, Lakehouse architecture, ETL/ELT, data modeling, and event-driven integration.
- Experience in regulated financial services.
- Strong understanding of data governance and compliance.
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Who's Hiring



Top Industries Hiring
- Technology & Software47
- Consulting & Professional Services18
- Electronics & Hardware8
- Investment & Asset Management6
- Insurance5
Senior Level Data Architect Jobs: Frequently Asked Questions
How do I get a senior level data architect job?
Senior level roles require demonstrated ownership of architecture decisions at scale, not just execution. Employers look for candidates who have led data platform initiatives end to end, can articulate trade-offs across cloud, on-premises, and hybrid environments, and have guided junior or mid-level architects. A portfolio of shipped systems and clear examples of cross-functional stakeholder influence will set you apart from candidates with similar technical credentials.
Which companies hire senior level data architects?
Companies hiring senior level data architects right now include NVIDIA, Mphasis, and EXL, based on current listings on Migrate Mate as of September 2026. Hiring at this level tends to concentrate in large enterprises and growth-stage organizations managing complex, high-volume data environments that require experienced architectural leadership rather than generalist engineering capacity.
Are there remote senior level data architect jobs?
Yes, remote and hybrid options are common at this level given the strategic and advisory nature of the work. About 36% of senior level data architect openings are remote or hybrid as of September 2026, reflecting employer confidence in experienced professionals who can lead architecture decisions and mentor teams without being on-site daily.
What makes a data architect role senior level?
Senior level data architect roles are defined by scope, ownership, and influence. Where mid-level architects execute within an existing framework, senior architects define the framework itself, making platform, governance, and modeling decisions that affect the entire organization. These roles also carry mentoring responsibilities, require engagement with executive stakeholders, and involve setting standards that other data professionals follow.
Which industries hire the most senior level data architects?
Senior Level data architect roles concentrate in Technology & Software, Consulting & Professional Services, and Electronics & Hardware, based on current listings on Migrate Mate as of September 2026. These sectors drive hiring because they manage large, regulated, or rapidly growing data ecosystems that require experienced architects to design and govern infrastructure rather than simply maintain it.