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Data Engineer – Databricks + DevOps

Job in Santa Clara, Santa Clara County, California, 95053, USA
Listing for: novasoft
Full Time position
Listed on 2026-03-01
Job specializations:
  • IT/Tech
    Data Engineer, Cloud Computing
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below

Location: Santa Clara, CA
Experience:8+ Years
Employment Type:Full-time / Contract

Position Overview:

Nova Soft is seeking a highly experienced
Databricks Data Engineer with strong Dev Ops expertise
to design, implement, and optimize large-scale Lakehouse architectures on AWS.

This role requires deep architectural understanding of compute vs. serving layer separation, low-latency data/API access strategies, and multi-terabyte data processing. The ideal candidate combines hands-on engineering excellence with technical leadership — a true player-coach mindset.

You will work closely with cross-functional teams to build scalable, secure, automated, and high-performance data platforms using modern Dev Ops practices.

Key Responsibilities:
  • Design and implement scalable
    Databricks Lakehouse architectures on AWS
  • Build and optimize
    ETL/ELT pipelines
    using PySpark, Spark, and SQL
  • Implement
    Delta Lake best practices
    (partitioning, optimization, schema evolution)
  • Develop and manage
    CI/CD pipelines and automated deployments
    using Dev Ops tools
  • Optimize Spark workloads for
    performance, cost efficiency, and low-latency access
  • Implement
    data governance and security
    using Unity Catalog
  • Collaborate with cross-functional teams and provide technical leadership
Technical Skills (Required):
  • Strong hands-on experience with:
    • Databricks (Delta Lake, Unity Catalog, Delta Live Pipelines, Workflows, Runtime)
    • PySpark, Spark, Advanced SQL
    • Lakehouse & Medallion Architecture
  • AWS expertise including:
    • S3, IAM, Glue / Glue Catalog
    • Lambda
    • Secrets Manager
    • (Kinesis is a plus)
  • Dev Ops expertise:
    • Git-based workflows
    • CI/CD pipelines
    • Databricks Asset Bundles
    • Terraform (preferred)
  • Experience handling multi-terabyte workloads
  • Strong understanding of performance tuning, partitioning, and storage optimization
Preferred Experience
:
  • Structured Streaming / real-time data pipelines
  • Advanced Databricks runtime configuration
  • Real-time or near real-time data solutions
  • Exposure to Git Lab CI/CD pipelines
Certifications (Optional)
  • Databricks Certified Data Engineer (Associate / Professional)
  • AWS Certified Data Engineer or Solutions Architect
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