Databricks Architect

9 hours ago

Chennai Tamil Nadu India, Tamil Nadu Mastech Digital Full time

Job Title: Databricks Architect

Location: Chennai/Hyderabad/Bangalore

Experience: 10–15 years of overall experience, at least 6 to 8 years in Databricks 5+ years in Data Architecture

Budget: Open to discuss

Notice Period: Immediate joiner/ Serving notice with less than 60 days/Notice is less than 60 days



About the Role

We are seeking a seasoned Databricks Architect with 10–15 years of overall experience and 5+ years in Data Architecture to lead the design and implementation of scalable, cloud-native data platforms. You will drive technical strategy, define Lakehouse architecture standards, and guide engineering teams in building high-performance data solutions.



Key Responsibilities

  • Architect and implement enterprise-scale data platforms using Databricks Lakehouse, Delta Lake, and Medallion architecture.
  • Lead end-to-end design of data ingestion, transformation, orchestration, and storage solutions.
  • Define architecture standards, best practices, governance models, and performance optimization strategies.
  • Oversee Databricks clusters, Spark workloads, and pipeline optimizations for efficiency and cost control.
  • Enable CI/CD, DevOps, and Infrastructure-as-Code (Terraform) for Databricks and cloud data platforms.
  • Collaborate with cross-functional teams on security, data governance, and cloud architecture alignment.
  • Provide technical leadership, mentoring, and solution oversight for data engineering teams.



Required Skills & Experience

  • 10–15 years in Data Engineering, Data Platforms, or Cloud Data Architecture.
  • 5+ years designing large-scale data solutions and architecting modern data platforms.
  • Hands-on expertise with Databricks, Spark, PySpark, SQL, Delta Lake, and Lakehouse principles.
  • Strong experience with AWS/Azure/GCP data services (Storage, IAM, Networking, Key Vault).
  • Proven experience implementing CI/CD, GitOps, Terraform, and Databricks Repos/Workflows.
  • Strong understanding of data governance, cataloging, lineage, and security (Unity Catalog preferred).
  • Ability to translate business needs into scalable architectural solutions



Preferred Qualifications

  • Databricks certifications (Data Engineer Professional, Lakehouse Architect).
  • Experience with streaming systems (Kafka, Event Hubs, Kinesis).
  • Exposure to MLflow and operationalizing ML workloads.



What We Offer

  • Opportunity to lead next-generation data platform initiatives.
  • Collaborative and innovative environment.
  • Competitive compensation and career growth.

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