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Executive Databricks Developer Jobs in Seattle, WA

Act as the voice of Security Engineering across the organization, driving data-driven decisions at the executive level. * Databricks' security innovations at major academic and industry conferences.

Databricks is looking for a Principal Data Scientist to serve as the statistical voice of the Data ... Partner with engineering VPs, product leaders, and executive staff to embed a data-driven decision ...

Partner with Customer Success Managers (CSMs), Account Executives (AEs), and senior CEAs to align ... Databricks certifications or willingness to certify (Data Engineer Associate, Databricks ...

Sr Staff Product Operations Manager

Bellevue, WA · On-site

$142K - $188K/yr

Founded by engineers - and customer obsessed - we leap at every opportunity to solve technical ... for non-technical executive audiences. Nice to Have: * Familiarity with Databricks tools ...

... developer tooling (e.g., experience adjacent to companies like Dremio, Snowflake, Databricks, or ... O of GitHub, who is also on the board. Spice AI also has notable VC backing from Madrona Venture ...

... developer tooling (e.g., experience adjacent to companies like Dremio, Snowflake, Databricks, or ... O of GitHub, who is also on the board. Spice AI also has notable VC backing from Madrona Venture ...

... Databricks, SAP, Siemens, and Verizon to name a few. The Role We are searching for an exceptional ... Chief Technology Officer and Chief Product Officer, who oversee engineering, product, design ...

... Databricks, SAP, Siemens, and Verizon to name a few. The Role We are searching for an exceptional ... Chief Technology Officer and Chief Product Officer, who oversee engineering, product, design ...

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Infographic showing various Executive Databricks Developer job openings in Seattle, WA as of August 2026, with employment types broken down into 85% Full Time, 11% Part Time, and 4% Contract. Highlights an 83% Physical, 6% Hybrid, and 11% Remote job distribution.

Databricks Architect

Applexus Technologies (P) Ltd

Federal Way, WA • On-site

$150 - $200/hr

Other

Posted 13 days ago


Job description

As the Databricks Architect, you are the technical authority for Lakehouse design and delivery across enterprise engagements. You balance architectural vision with hands-on execution and elevate the engineering quality of the teams around you.

You will partner closely with the Databricks field team shaping joint solutions, supporting co-sell pursuits, and occasionally participating in roadshows and partner events. The primary focus is delivery excellence; the GTM dimension adds strategic reach.

Key Responsibilities
  • Architecture & Delivery: Design Databricks Lakehouse platforms using Delta Lake; define reference patterns for ingestion, transformation, and consumption layers.
  • Data Engineering: Build and maintain batch and streaming pipelines with Python, PySpark, and SQL; implement data quality and validation frameworks.
  • Governance & Security: Implement Unity Catalog in production – governance, lineage, auditing, access controls, and secure sharing.
  • Performance & Cost: Optimize workloads end-to-end; establish cluster policies, tagging, and cost controls.
  • Platform Standards: Drive CI/CD, environment promotion (dev/test/prod), and engineering best practices across teams.
  • Operational Excellence: Define monitoring, alerting, incident response, and SLA/SLO processes; implement observability across pipelines.
  • Technical Leadership: Mentor engineers, lead design and code reviews, and shape the practice roadmap.
  • Partner Engagement: Collaborate with the Databricks partnership team on joint offerings, co-sell activity, and select roadshow and field events.
What You Bring
  • 10+ years in data engineering or architecture, including 3+ years in technical leadership capacity.
  • Databricks mastery: Delta Lake, Unity Catalog, Workflows/Jobs, performance tuning – in production environments.
  • Advanced Python, PySpark & SQL with large-scale data processing and optimization experience.
  • Cloud platform fluency on at least one major hyperscaler (AWS, Azure, or GCP) – IAM, networking, observability, cost management.
  • CI/CD expertise for data platforms – testing, packaging, version control, and deployment automation.
  • Stakeholder management skills with the ability to translate architecture into business outcomes for both technical and executive audiences.
  • Databricks ecosystem awareness – familiarity with partner programs, joint GTM, and co-sell dynamics is a plus, not a prerequisite.
Ideal Candidate

An architect with a consulting or services background who has delivered Databricks platform programs end-to-end. You are hands-on, entrepreneurial, and ready to own delivery outcomes while building practice capability alongside you.

What Success Looks Like
  • Reusable, production-grade architectures that clients trust and reference.
  • Engineering standards measurably elevated across the practice.
  • Credible presence in the Databricks partner ecosystem.
  • A pipeline of reusable accelerators and documented patterns.
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