Cloud Data Solutions Architect

23 hours ago

Mangalore, Karnataka, India beBeeDataEngineer Full time ₹ 1,20,00,000 - ₹ 1,50,00,000

About the Position

We are building a team of advanced analytics professionals to drive strategic growth and operational efficiencies across our business. The Analytics team is responsible for leveraging big data and advanced analytics to solve complex problems and deliver top-line growth.

About the Role

This position involves applying expertise in building data products using Databricks and related technologies to manage the existing cloud data platform. You will work on making it more scalable, reliable, and cost-efficient, as well as contributing to additional projects that leverage the existing architecture.

Responsibilities:

Data Engineering

• Analyze and understand existing data warehouse implementations to support migration and consolidation efforts.

• Reverse-engineer legacy stored procedures (PL/SQL, SQL) and translate business logic into scalable Spark SQL code within Databricks notebooks.

• Design and develop data lake solutions on AWS using S3 and Delta Lake architecture, leveraging Databricks for processing and transformation.

• Build and maintain robust data pipelines using ETL tools with ingestion into S3 and processing in Databricks.

Collaboration and Leadership

• Collaborate with data architects to implement ingestion and transformation frameworks aligned with enterprise standards.

• Evaluate and optimize data models (Star, Snowflake, Flattened) for performance and scalability in the new platform.

• Document ETL processes, data flows, and transformation logic to ensure transparency and maintainability.

• Perform foundational data administration tasks including job scheduling, error troubleshooting, performance tuning, and backup coordination.

Additional Responsibilities

• Work closely with cross-functional teams to ensure smooth transition and integration of data sources into the unified platform.

• Participate in Agile ceremonies and contribute to sprint planning, retrospectives, and backlog grooming.

• Triage, debug and fix technical issues related to Data Lakes.

• Maintain and Manage Code repositories like Git.

Qualifications

• Bachelor's degree in Computer Science, Information Technology, Data Engineering, or related field.

Required Skills

• 5+ years of experience working with Databricks, including Spark SQL and Delta Lake implementations.

• 3+ years of experience in designing and implementing data lake architectures on Databricks.

• Strong SQL and PL/SQL skills with the ability to interpret and refactor legacy stored procedures.

• Hands-on experience with data modeling and warehouse design principles.

• Proficiency in at least one programming language (Python, Scala, Java).

Preferred Skills

• Databricks cloud certification is highly valued.

• Experience working in Agile environments and contributing to iterative development cycles.

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