C

Senior Resident Solutions Architect – Databricks (Lakehouse & Cloud Data Platforms)

cyberobotix • United State
Remote
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Lead the design and implementation of scalable Databricks and Lakehouse architectures for enterprise clients. Provide expert guidance on governance, security, and performance optimization while collaborating with cross-functional teams. Mandatory Databricks certification (GC/USC) required for this fully remote US-based role.

Key Highlights
Mandatory Databricks certification (Global Cloud or US Customer)
100% remote role with US-based eligibility
Architect and optimize Databricks/Lakehouse solutions for global enterprises
Key Responsibilities
Design and architect scalable Databricks and Lakehouse solutions for enterprise clients
Provide customer-facing architectural guidance and best practices for Databricks implementations
Optimize Spark performance (partitioning, caching, AQE, data skew) and manage Delta Lake workflows
Administer Databricks Workspaces, Account settings, and Terraform integrations
Implement governance and security using Unity Catalog and SQL Warehouses
Collaborate with teams to migrate legacy ETL pipelines to modern Databricks workflows
Technical Skills Required
Databricks Platform PySpark & Spark SQL Cloud Platforms (AWS/Azure/GCP)
Benefits & Perks
100% remote work eligibility
Nice to Have
MLflow and Databricks AI capabilities
Informatica/legacy ETL migration expertise
Experience with Databricks Genie, Lakebase, and Databricks Apps

Job Description

Role: Resident Solutions Architect – Databricks.

Location: 100% Remote – USA

Databricks Certification: Mandatory

(Only GC And USC)

Key Requirements:

Strong hands-on Databricks Platform experience

PySpark, Spark SQL & Delta Lake

Lakehouse Architecture

Unity Catalog – Governance & Security

Delta Live Tables (DLT)

Databricks Workflows

Workspace & Account Administration

Terraform with Databricks

Strong Spark Performance Tuning – Partitioning, Caching, AQE & Data Skew

SQL Warehouses

Kafka / Structured Streaming

Strong experience with AWS / Azure / GCP

Experience designing and architecting scalable Databricks/Lakehouse solutions

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