Senior Level Data Platform Engineer Jobs
Senior level data platform engineer jobs place experienced engineers in ownership of platform architecture, infrastructure decisions, and the cross-functional teams that build and scale them. Roles are concentrated in Technology & Software, Artificial Intelligence, and Consulting & Professional Services, with 35% remote or hybrid flexibility across openings, and employers like Scale AI, Radar, and Netflix hiring at this level now.
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Job Title: Data Platform Engineer (Databricks)
Location: Los Angeles, CA / Irvine, CA / Seattle, WA / New York, NY (3 days onsite/week)
Employment Type: Contract
Company Overview
Glint Tech Solutions is a women-owned, global IT staffing and recruiting firm serving enterprise clients across the USA and Canada.
Project Description
This role sits at the intersection of platform engineering, data engineering, and data product development for a leading enterprise client. The engineer will build reusable platform capabilities and data products enabling quantitative researchers to discover, access, and consume data across a complex data landscape, then accelerate promising prototypes into production.
Key Responsibilities
- Design, build, and enhance platform capabilities within Databricks and related technologies
- Build reusable data products and self-service capabilities
- Design and maintain data pipelines and integration frameworks
- Improve data quality, reliability, lineage, and monitoring
- Partner with researchers to prototype solutions and establish patterns that streamline research-to-production delivery
Mandatory Skills
- 8+ years of platform and data solutions experience
- Hands-on Databricks experience (workspace, notebooks, jobs) and platform capability development
- Python
- SQL
- Modern CI/CD and Infrastructure-as-Code (Terraform strongly preferred)
- Data governance and observability (Unity Catalog, lineage, monitoring)
- Orchestration (Airflow)
- AI fluency — hands-on use of AI agents (Claude Code preferred) to design, build, test, and support solutions
Nice-to-Have Skills
- Financial domain experience, especially quant research
- API development
- PowerBI
To Apply
Send resumes to sagar@glinttechsolutions.com
Job Title: Data Platform Engineer (Databricks)
Location: Los Angeles, CA / Irvine, CA / Seattle, WA / New York, NY (3 days onsite/week)
Employment Type: Contract
Company Overview
Glint Tech Solutions is a women-owned, global IT staffing and recruiting firm serving enterprise clients across the USA and Canada.
Project Description
This role sits at the intersection of platform engineering, data engineering, and data product development for a leading enterprise client. The engineer will build reusable platform capabilities and data products enabling quantitative researchers to discover, access, and consume data across a complex data landscape, then accelerate promising prototypes into production.
Key Responsibilities
- Design, build, and enhance platform capabilities within Databricks and related technologies
- Build reusable data products and self-service capabilities
- Design and maintain data pipelines and integration frameworks
- Improve data quality, reliability, lineage, and monitoring
- Partner with researchers to prototype solutions and establish patterns that streamline research-to-production delivery
Mandatory Skills
- 8+ years of platform and data solutions experience
- Hands-on Databricks experience (workspace, notebooks, jobs) and platform capability development
- Python
- SQL
- Modern CI/CD and Infrastructure-as-Code (Terraform strongly preferred)
- Data governance and observability (Unity Catalog, lineage, monitoring)
- Orchestration (Airflow)
- AI fluency — hands-on use of AI agents (Claude Code preferred) to design, build, test, and support solutions
Nice-to-Have Skills
- Financial domain experience, especially quant research
- API development
- PowerBI
To Apply
Send resumes to sagar@glinttechsolutions.com
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Who's Hiring
Top Industries Hiring
- Technology & Software21
- Artificial Intelligence4
- Consulting & Professional Services4
- Banking & Financial Services3
- Investment & Asset Management3
Senior Level Data Platform Engineer Jobs: Frequently Asked Questions
How do I get a senior level data platform engineer job?
Employers at this level expect candidates to demonstrate ownership of end-to-end platform design, not just execution. Highlight systems you architected, the scale you supported, and decisions you made independently. Experience mentoring engineers and driving adoption of data infrastructure across product or analytics teams signals the leadership these roles require. Strong candidates also show depth in at least one cloud platform and a history of improving reliability or performance at scale.
Which companies hire senior level data platform engineers?
Companies hiring senior level data platform engineers right now include Scale AI, Radar, and Netflix, based on current listings on Migrate Mate as of September 2026. Hiring at this level is driven by technology companies, financial services firms, and large enterprises building or modernizing centralized data infrastructure to support analytics, machine learning, and product teams.
Are there remote senior level data platform engineer jobs?
Yes, remote availability is strong at this level. About 35% of senior level data platform engineer openings are remote or hybrid as of September 2026, reflecting that employers trust senior engineers to deliver independently. Fully on-site roles tend to appear at companies with regulated data environments or early-stage infrastructure buildouts that benefit from close collaboration.
What makes a data platform engineer role senior level?
Senior level data platform engineer roles are defined by scope and ownership rather than task execution. Engineers at this level own platform architecture decisions, set standards for data reliability and observability, and lead projects that other engineers depend on. Mentoring mid-level and junior engineers is often an explicit expectation, and senior engineers are typically consulted on cross-team infrastructure tradeoffs rather than assigned tickets within an existing system.
Which industries hire the most senior level data platform engineers?
Senior level data platform engineer roles concentrate in Technology & Software, Artificial Intelligence, and Consulting & Professional Services, based on current listings on Migrate Mate as of September 2026. These sectors generate the data volume and platform complexity that require experienced engineers who can design durable infrastructure, not just maintain existing pipelines.