Senior Principal Consultant

4 days ago

Bengaluru, Karnataka, India Oracle Full time ₹ 6,00,000 - ₹ 8,00,000 per year

Role Overview:

We are seeking an experienced Data Architect specializing in Databricks to lead the architecture, design, and migration of enterprise data workloads from on-premises systems (e.g., Oracle, Exadata, Hadoop) to Databricks on Azure or AWS. The role involves designing scalable, secure, and high-performing data platforms based on the medallion architecture (bronze, silver, gold layers), supporting large-scale ingestion, transformation, and publishing of data.

Required Skills and Experience:

  • 8+ years of experience in data architecture or engineering roles, with at least 3+ years specializing in cloud-based big data solutions.
  • Hands-on expertise with Databricks on Azure or AWS.
  • Deep understanding of Delta Lake, medallion architecture (bronze/silver/gold zones), and data governance tools (e.g., Unity Catalog, Purview).
  • Strong experience migrating large datasets and batch/streaming pipelines from on-prem to Databricks.
  • Expertise with Spark (PySpark/Scala) at scale and optimizing Spark jobs.
  • Familiarity with ingestion from RDBMS (Oracle, SQL Server) and legacy Hadoop ecosystems.
  • Proficiency in orchestration tools (Databricks Workflows, Airflow, Azure Data Factory, AWS Glue Workflows).
  • Strong understanding of cloud-native services for storage, compute, security, and networking.

Preferred Qualifications:

  • Databricks Certified Data Engineer or Architect.
  • Azure/AWS cloud certifications.
  • Experience with real-time/streaming ingestion (Kafka, Event Hubs, Kinesis).
  • Familiarity with data quality frameworks (e.g., Deequ, Great Expectations).

Key Responsibilities:

  • Define and design cloud-native data architecture on Databricks using Delta Lake, Unity Catalog, and related services.
  • Develop migration strategies for moving on-premises data workloads (Oracle, Hadoop, Exadata, etc.) to Databricks on Azure/AWS.
  • Architect and oversee data pipelines supporting ingestion, curation, transformation, and analytics in a multi-layered (bronze/silver/gold) model.
  • Lead data modeling, schema design, performance optimization, and data governance best practices.
  • Collaborate with data engineering, platform, and security teams to build production-ready solutions.
  • Create standards for ingestion frameworks, job orchestration (e.g., workflows, Airflow), and data quality validation.
  • Support cost optimization, scalability design, and operational monitoring frameworks.
  • Guide and mentor engineering teams during the build and migration phases.

Attributes for Success:

  • Ability to lead architecture discussions with technical and business stakeholders.
  • Passion for modern cloud data architectures and continuous learning.
  • Pragmatic and solution-driven approach to migrations.

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