Skills Required Primary Skills Databricks certification must ,experience working on Databricks architecture for 5 years Job Description

Key Role & Responsibilities

- Define lakehouse architecture: medallion (bronze/silver/gold) patterns, batch/streaming designs, and multi-workspace strategies.

- Design and implement data pipelines using Spark, Delta Lake, and Databricks workflows (Jobs/Workflows, DLT where applicable).

- Establish governance and security using Unity Catalog, access controls, lineage, and data quality gates.

- Optimise performance: cluster policies, autoscaling, partitioning, file sizing, caching, Spark tuning, and job orchestration.

- Build CI/CD and release governance for notebooks, repos, jobs, and infrastructure-as-code.

- Integrate Databricks with enterprise ecosystem (cloud storage, event streaming, data warehouse, BI tools).

- Conduct solution workshops with customers; provide options and trade-offs; create phased implementation roadmaps aligned to business value.

- Mentor teams, enforce engineering standards, and ensure operational excellence (monitoring, incident response, SRE practices).

Must Have





- 12+ years experience with a robust Data Engineering background (ETL/ELT, distributed compute, production-grade pipelines).

- 5+ years hands-on Databricks experience in architecture/technical leadership roles.

- Strong experience in Apache Spark (PySpark/Scala), Delta Lake, pipeline design, and performance tuning.

- At least 1 Databricks Certification.

- Experience with data orchestration and DevOps practices (Git, CI/CD, testing frameworks).

- Experience designing secure data platforms (RBAC, secrets, network/security integration, compliance considerations).

- Strong customer-facing skills: requirements discovery, solution design, and stakeholder management.

Good to Have

- Streaming experience (Kafka/Event Hubs, Structured Streaming, CDC patterns).

- ML/AI enablement experience (MLflow, feature engineering, model lifecycle) as it relates to platform design.

- Cloud certifications or platform-specific certifications.

Education

- Bachelor's/Master's in Computer Science, Engineering, or related fields.

Key Skills: Databricks, Python, Spark, Data Architecture, Data Pipelines

📌 Role: Databricks Architect (India)
🏢 Sparix Global
📍 India