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Databricks Data Engineer (DevOps)

Job Description

About Persistent


We are an AI-led, platform-driven Digital Engineering and Enterprise Modernization partner, combining deep technical expertise and industry experience to help our clients anticipate what?s next. Our offerings and proven solutions create a unique competitive advantage for our clients by giving them the power to see beyond and rise above. We work with many industry-leading organizations across the world, including 20 Fortune 50 companies and 4 of the 5 top banks in both the US and India, and numerous innovators across the healthcare ecosystem.


Our disruptor?s mindset, commitment to client success, and agility to thrive in the dynamic environment have enabled us to sustain our growth momentum. Persistent has been recognized across top industry platforms for innovation, leadership, and inclusion. We have delivered 23 sequential quarters of growth with $422.5M in Q3 FY26 revenue, up 4.0% Q-o-Q and 17.3% Y-o-Y growth. Our 26,500+ global team members, located in 18 countries, have been instrumental in helping the market leaders transform their industries. We won the 2025 ISG Star of Excellence? Award for AI and Data Excellence and were named a Leader in the Everest Group Talent Readiness for Next-generation Data, Analytics and AI Services PE?? Assessment 2025.


About Position:


We are looking for an experienced Databricks Data Engineer with strong DevOps expertise to join our data engineering team. The ideal candidate will design, build, and optimize large-scale pipelines on the Databricks Lakehouse Platform on AWS, while driving automated CI/CD and deployment practices. This role requires strong skills in PySpark, SQL, AWS cloud services, and modern DevOps tooling. You will collaborate closely with cross-functional teams to deliver scalable, secure, and high-performance data solutions.


  • Role: Databricks Data Engineer (DevOps)
  • Location: Los Angeles CA
  • Experience: 8+ Years
  • Job Type: Fulltime /Contract

What You'll Do:


  • Designing and implementing Databricks-based Lakehouse architectures on AWS
  • Clear separation of compute vs. serving layers
  • Ability to design low-latency data/API access strategies (beyond Spark-only patterns)
  • Strong understanding of caching strategies for performance and cost optimization
  • Data partitioning, storage optimization, and file layout strategy
  • Ability to handle multi-terabyte structured or time-series datasets
  • Skill in requirement probing, identifying what matters architecturally
  • A player-coach mindset: hands-on engineering + technical leadership
  • Strong hands-on experience with Databricks, including:
  • Delta Lake ,Unity Catalog ,Lakehouse Architecture ,Delta Live Pipelines ,Databricks Runtime ,Table Triggers ,Databricks Workflows
  • Proficiency in PySpark, Spark, and advanced SQL.
  • Expertise with AWS cloud services, including:S3 ,IAM Glue / Glue Catalog ,Lambda Kinesis (optional but beneficial)Secrets Manager
  • Strong understanding of DevOps tools:Git / GitLabCI/CD pipelines
  • Databricks Asset Bundles
  • Familiarity with Terraform is a plus.
  • Experience with relational databases and data warehouse concepts.

Expertise You'll Bring:


  • Design, build, and maintain scalable ETL/ELT pipelines using Databricks on AWS.
  • Develop high-performance data processing workflows using PySpark/Spark and SQL.
  • Integrate data from Amazon S3, relational databases, and semi/non?structured sources.
  • Implement Delta Lake best practices including schema evolution, ACID, OPTIMIZE, ZORDER, partitioning, and file-size tuning.
  • Ensure architectures support high-volume, multi-terabyte workloads
  • DevOps & CI/CD
  • Implement CI/CD pipelines for Databricks using Git, GitLab, GitHub Actions, or AWS-native tools.
  • Build and manage automated deployments using Databricks Asset Bundles.
  • Manage version control for notebooks, workflows, libraries, and environment configuration.
  • Automate cluster policies, job creation, environment provisioning, and configuration management.
  • Support infrastructure-as-code via Terraform (preferred) or CloudFormation.
  • Collaboration & Business Support
  • Work with data analysts and BI teams to prepare curated datasets for reporting and analytics.
  • Collaborate closely with product owners, engineering teams, and business partners to translate requirements into scalable implementations.
  • Document data flows, technical architecture, and DevOps/deployment workflows.

Expertise You'll Bring:

  • Performance & Optimization
  • Tune Spark clusters, workflows, and queries for cost efficiency and compute performance.
  • Monitor pipelines, troubleshoot failures, and maintain high reliability.
  • Implement logging, monitoring, and observability across workflows and jobs.
  • Apply caching strategies and workload optimization techniques to support low-latency consumption patterns.
  • Governance & Security
  • Implement and maintain data governance using Unity Catalog.
  • Enforce access controls, security policies, and data compliance requirements.
  • Ensure lineage, quality checks, and auditability across data flows.

Benefits:


  • Competitive salary and benefits package
  • Culture focused on talent development with quarterly growth opportunities and company-sponsored higher education and certifications
  • Opportunity to work with cutting-edge technologies
  • Employee engagement initiatives such as project parties, flexible work hours, and Long Service awards
  • Annual health check-ups
  • Insurance coverage: group term life, personal accident, and Mediclaim hospitalization for self, spouse, two children, and parents

Values-Driven, People-Centric & Inclusive Work Environment:


Persistent is dedicated to fostering diversity and inclusion in the workplace. We invite applications from all qualified individuals, including those with disabilities, and regardless of gender or gender preference. We welcome diverse candidates from all backgrounds.


  • We support hybrid work and flexible hours to fit diverse lifestyles.
  • Our office is accessibility-friendly, with ergonomic setups and assistive technologies to support employees with physical disabilities.
  • If you are a person with disabilities and have specific requirements, please inform us during the application process or at any time during your employment

Let's unleash your full potential at Persistent - persistent.com/careers


"Persistent is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind."

1

Open Positions

Databricks,DevOps

Skills Required

Los Angeles, CA, USA

Location

Databricks,DevOps

Desirable Skills

8 to 16 years

Years Of Exp

168721

Job Code

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