Principal Engineer - Databricks
- Flexera Software
- 12 - 17 years
- Bengaluru
- 3 months ago
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Job Description
- Architect, design, and implement scalable and performant Databricks-based data pipelines, including batch and streaming workloads.
- Optimize Databricks Lakehouse architecture including Delta Lake, Unity Catalog, and Photon for cost efficiency, data reliability, and query performance at scale.
- Define and implement advanced data models and ontologies to support complex analytics and AI/ML workflows.
- Design and tune complex Spark applications (PySpark and/or Scala) for high-volume data processing, including structured streaming and incremental processing.
- Implement orchestration workflows (e.g., Databricks Workflows, Azure Data Factory, or similar) to automate data pipelines with robust monitoring and alerting.
- Drive best practices for data governance, security, and lineage, leveraging Unity Catalog, table ACLs, and audit capabilities.
- Optimize cluster configurations, autoscaling strategies, and cost management within Databricks environments.
- Collaborate with data scientists and analytics engineers to enable self-service access to high-quality, well-documented datasets and features.
- Lead complex troubleshooting efforts, deep performance tuning, and root-cause analysis across distributed systems.
- Author and maintain technical artifacts, including architecture diagrams, design docs, reference implementations, and best practice guides.
- Mentor and coach engineers across teams on Databricks internals, Spark performance tuning, and modern data engineering architectures.
- Stay on top of emerging Databricks features (e.g., Mosaic AI, serverless compute, Delta Live Tables), advocating for their adoption when they bring tangible value.
Youll be expected to have:
- Bachelor s or higher degree in Computer Science, Software Engineering, or a related field.
- 12+ years of software engineering experience, with 6+ years specifically in building large-scale data platforms.
- Expert-level proficiency in Databricks, including:
- Delta Lake internals (ACID transactions, time travel, Z-ordering, data compaction strategies)
- Unity Catalog for data governance, security, and lineage
- Advanced Spark tuning (shuffle management, partitioning strategies, caching, cluster configuration)
- Databricks SQL Warehousing, Workflows, and MLflow integration
- Strong expertise with cloud-native data engineering in Azure or AWS, including storage (ADLS/S3), networking, and IAM integration.
- Knowledge of streaming architectures (Apache Kafka, structured streaming), schema evolution, and event-driven data modeling.
- Hands-on experience with metadata catalogs, orchestration frameworks, and observability tooling (e.g., Datadog, Grafana).
- Strong understanding of distributed systems, fault tolerance, and large-scale performance engineering.
- Proven ability to solve complex, ambiguous problems and make architectural trade-offs in real-world production systems.
- Excellent technical communication skills ability to document, present, and explain technical concepts clearly to varied audiences.
- Prior experience mentoring engineers, conducting design reviews, and setting technical direction across teams.
- A continuous learner mindset actively keeping pace with evolving Databricks platform capabilities and broader data engineering trends.
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Engineering - Software & QARole Category: Software DevelopmentRole: Technical ArchitectEmployement Type: Full timeContact Details:
Company: Flexera SoftwareLocation(s): Bengaluru+ View Contact
Keyskills: fault tolerance azure data lake scala production microsoft azure distribution system pyspark networking performance engineering engineering data engineering sql data bricks iam grafana kafka integration software engineering aws communication skills
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