Senior Level Platform Engineer Jobs
Senior level platform engineer jobs put experienced engineers in charge of platform architecture, reliability standards, and the cross-functional initiatives that keep infrastructure operating at scale. Roles are spread across Technology & Software, Insurance, and Investment & Asset Management, with 48% remote or hybrid availability, and employers like GEICO, Gemini, and Anthropic hiring at this level now.
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AI Data Platform Engineer – Remote
Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential.
Job Title: AI Data Platform Engineer
Location: 100% Remote (U.S.)
Position Type: Full-time, Direct W2
Salary Range: $135,000–$170,000 Annually
Experience Required: 6+ years
Job Summary
We are seeking a AI Data Platform Engineer to define and lead the architecture of our enterprise data platform, spanning ingestion, storage, processing, governance, and consumption layers. The role drives the strategic direction of data infrastructure, sets standards for data modeling and lifecycle management, and partners with data engineering, analytics, ML, and business stakeholders to deliver a coherent, scalable data foundation. The ideal candidate combines deep technical mastery of modern data platforms with strong architectural judgment, and has led data-platform programs of meaningful scope and complexity.
Key Responsibilities
- Define the target-state architecture of the enterprise data platform, including ingestion, storage, processing, and consumption layers
- Establish standards for data modeling, schema evolution, partitioning, file formats, and storage organization
- Architect lakehouse, warehouse, and streaming patterns leveraging technologies such as Snowflake, Databricks, BigQuery, Redshift, Iceberg, Delta Lake, or Hudi
- Design end-to-end data pipelines that balance latency, cost, reliability, and maintainability across batch and streaming workloads
- Lead the integration of governance, lineage, and catalog tools such as Collibra, Alation, Atlan, Unity Catalog, or DataHub
- Define security architecture including row- and column-level controls, masking, encryption, and identity-aware access patterns
- Partner with ML, BI, and product teams to ensure platform capabilities align with downstream consumption needs
- Establish data contract and data product principles to drive ownership, quality, and decoupling between producers and consumers
- Lead architecture reviews and provide guidance on pipeline and warehouse design proposals across teams
- Drive cost optimization and capacity planning across the data platform estate
- Design disaster recovery, multi-region, and high-availability strategies for critical data assets
- Mentor data engineers and architects on platform standards and emerging best practices
- Produce architecture artifacts including context diagrams, decision records, and reference patterns
- Stay current with data platform research, vendor offerings, and open-source ecosystem developments
Required Qualifications
- Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related field
- Eight or more years of experience in data engineering, with significant time in architecture roles
- Deep expertise across at least two major data platforms such as Snowflake, Databricks, BigQuery, or Redshift
- Strong understanding of lakehouse architectures, modern table formats, and streaming systems
- Hands-on experience with Spark, Flink, or Kafka at production scale
- Strong data modeling expertise across dimensional, normalized, and data-vault patterns
- Experience implementing governance, lineage, and catalog capabilities
- Solid grasp of cloud platforms, networking, identity, and cost optimization
- Excellent communication, facilitation, and stakeholder management skills
- Track record of leading large data platform initiatives across teams
Preferred Qualifications
- Experience with data mesh or data product architectures
- Familiarity with semantic layers such as dbt Semantic Layer, Cube, or LookML
- Exposure to regulated industries with strict data residency or audit requirements
- Cloud or platform certifications (Snowflake, Databricks, AWS, Azure, GCP)
- Public talks or writing on data architecture
How To Apply
Would you like to know more about this opportunity? For immediate consideration, please send your resume to Harry@bvteck.com or contact us at (908) 676-4399. Learn more about Bright Vision Technologies at www.bvteck.com.
Bright Vision Technologies is an Equal Opportunity Employer.
Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall. BV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees' ability to perform their job duties may result in disciplinary action up to and including termination of employment.
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Find JobsSenior Level Platform Engineer Job Market
Who's Hiring
- GEICO11

- Gemini5

- Anthropic5

- Riot Games5

- Guidewire Software5

Top Industries Hiring
- Technology & Software76
- Insurance18
- Investment & Asset Management12
- Science & Research9
- Banking & Financial Services8
Senior Level Platform Engineer Jobs: Frequently Asked Questions
How do I get a senior level platform engineer job?
Employers hiring at this level look for engineers who have owned platform outcomes, not just contributed to them. Demonstrated experience leading migrations, designing scalable systems, or establishing reliability practices gives candidates a clear edge. Strong candidates also show they can mentor others and communicate technical tradeoffs to non-engineering stakeholders, which separates senior hires from strong individual contributors.
Which companies hire senior level platform engineers?
Companies hiring senior level platform engineers right now include GEICO, Gemini, and Anthropic, based on current listings on Migrate Mate as of November 2026. Hiring at this level tends to concentrate in technology-forward organizations, large enterprises modernizing legacy infrastructure, and high-growth companies scaling their platform capabilities to support product expansion.
Are there remote senior level platform engineer jobs?
Yes, remote and hybrid options are common at this level. About 48% of senior level platform engineer openings are remote or hybrid as of November 2026, reflecting how teams have structured distributed engineering around experienced platform engineers who can operate independently and lead without daily on-site oversight.
What makes a platform engineer role senior level?
Senior level platform engineer roles are defined by ownership of platform strategy, not just execution of assigned tasks. These positions require designing systems for scale and reliability, making architectural decisions with long-term consequences, and setting technical direction for the broader team. Mentoring junior engineers and driving cross-team alignment on infrastructure standards are also core expectations that distinguish senior roles from mid-level ones.
Which industries hire the most senior level platform engineers?
Senior Level platform engineer roles concentrate in Technology & Software, Insurance, and Investment & Asset Management, based on current listings on Migrate Mate as of November 2026. These sectors drive hiring at this level because they operate large-scale, mission-critical infrastructure that requires experienced engineers to lead platform reliability, security, and performance work across complex environments.