Databricks Architect

Applexus Technologies (P) Ltd; Federal Way (WA); On-site; USD 150,000 - 200,000; Full time

Job summary

Applexus Technologies (P) Ltd is seeking a Databricks Architect based in Federal Way, Washington. This role is pivotal in designing and delivering Databricks Lakehouse platforms, balancing architectural vision with hands-on execution. The successful candidate will work closely with the Databricks field team, ensuring delivery excellence on enterprise engagements.

Your responsibilities include building data pipelines, implementing governance protocols, and leading technical initiatives. Ideal candidates will possess over 10 years in data engineering, with extensive Databricks mastery and leadership experience.

Qualifications

• 10+ years in data engineering or architecture, including 3+ years in a technical leadership capacity.
• Databricks experience with Delta Lake, Unity Catalog, and performance tuning in production environments.
• Proficiency in Python, PySpark, and SQL with large-scale data processing experience.

Responsibilities

• Design Databricks Lakehouse platforms and define reference patterns.
• Build and maintain batch and streaming pipelines.
• Implement governance and security standards in production.

Skills

Data engineering leadership

Databricks mastery

Advanced Python

PySpark

SQL

Cloud platform fluency

CI/CD expertise

Stakeholder management

Databricks ecosystem awareness

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.