Databricks Engineer

Cloud Analytics Technologies, LLC; Washington (District of Columbia); On-site; USD 150,000 - 200,000; Full time

Job summary

Cloud Analytics Technologies, LLC seeks a senior Databricks Architect to drive adoption, implementation, and optimization of the Databricks Lakehouse across data pipelines, analytics, and AI initiatives. The role collaborates with data engineering, data science, analytics, and infrastructure teams to design scalable solutions and troubleshoot complex issues.

Responsibilities include leading end-to-end Databricks design, building ingestion pipelines with Spark and Delta Live Tables, enforcing

Qualifications

• Bachelor's degree or equivalent in IT/CS or related field.
• 7+ years in Data Engineering or Architecture, with 4+ years on Databricks.
• Experience implementing Unity Catalog with cross-workspace governance.
• Deep Apache Spark tuning and Photon engine optimization.
• Proficiency in Python, SQL, and Scala for distributed computing.
• Terraform IaC to deploy Databricks workspaces and permissions.

Responsibilities

• Lead design, implementation, and optimization of end-to-end Databricks solutions (Unity Catalog, Delta Lake, SQL, Workflows, Jobs, Mosaic AI).
• Architect and maintain scalable data ingestion and orchestration pipelines using Spark, Delta Live Tables, and Auto Loader.
• Identify and resolve Spark, cluster, and SQL performance bottlenecks; implement cost optimization and auto-scaling.
• Establish and enforce Databricks security, governance, and Unity Catalog best practices.
• Support data science and ML teams by enabling MLflow, Vector Search, and AI capabilities on Databricks.
• Provide root cause analysis and rapid resolution for production workloads; mentor engineers and analysts.

Skills

Spark tuning

Python

SQL

Databricks

Terraform

CI/CD

Education

Bachelor's degree or equivalent

Tools

Unity Catalog

Delta Lake

Auto Loader

MLflow

Vector Search

Job description

US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other

Work Authorization: US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, Other

Job Summary:

This position serves as the principal technical authority for the Databricks Lakehouse platform within the organization. The successful candidate will drive the adoption, implementation, and optimization of Databricks across data pipelines, analytics, and artificial intelligence initiatives. This role requires collaboration with cross-functional teams including data engineering, data science, analytics, and infrastructure to design robust, scalable solutions and troubleshoot complex technical issues.

Key Responsibilities

• Lead the design, implementation, and optimization of end-to-end solutions on Databricks, including Unity Catalog, Delta Lake, Databricks SQL, Workflows, Jobs, and Mosaic AI.
• Architect, build, and maintain scalable data ingestion, transformation, and orchestration pipelines using Databricks tools such as Spark, Delta Live Tables, and Auto Loader.
• Identify and resolve performance bottlenecks in Spark jobs, clusters, and SQL queries while implementing cost optimization and auto-scaling strategies.
• Establish and enforce Databricks best practices for security, data governance, compliance, and Unity Catalog implementation.
• Support data science and machine learning teams by implementing MLflow, Feature Store, Vector Search, and generative AI capabilities on Databricks.
• Provide root cause analysis and rapid resolution for complex technical issues as the escalation point for production workloads.
• Mentor data engineers, analysts, and developers through training sessions, documentation, and the creation of internal centers of excellence.
• Design seamless integrations between Databricks and cloud platforms, ETL tools, BI tools, data catalogs, and orchestration systems.
• Implement robust monitoring, logging, alerting, and dashboarding for Databricks workloads using native and external tools.
• Evaluate new Databricks features and roadmaps to recommend adoption strategies that drive business value.

Required Qualifications

• Bachelor's degree in Information Technology, Computer Science, Business Administration, or a related field, or equivalent work experience.
• 7+ years in Data Engineering or Architecture, with at least 4+ years dedicated exclusively to the Databricks ecosystem.
• Proven track record implementing Unity Catalog from scratch, including row- and column-level security and cross-workspace governance.
• Deep, low-level Apache Spark tuning expertise (e.g., managing data skew, optimizing shuffles, utilizing Adaptive Query Execution, caching strategies, and Photon engine optimization).
• Hands-on experience building production-grade Generative AI or LLM applications using Databricks Mosaic AI, Vector Search, and MLflow.
• Advanced proficiency in Python, Scala, and SQL optimized specifically for distributed computing environments
• Production experience with Infrastructure as Code (IaC) tools like Terraform to deploy and manage Databricks workspaces, clusters, and permissions.
• Experience setting up secure network topologies for Databricks, including Private Link/VPC Peering , encryption keys (BYOK), and IP access lists.
• Strong background in CI/CD pipelines (e.g., GitHub Actions, Azure DevOps, GitLab) using Databricks Asset Bundles (DABs) or Databricks CLI.

Preferred Qualifications

• Databricks Certified Solutions Architect or Databricks Certified Data Engineer Professional.
• Databricks Certified Machine Learning Professional.
• Cloud Architecture certification, such as AWS Certified Solutions Architect or Azure Solutions Architect Expert.

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.

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