Data Architect

What You ll Be Doing:

• Lead the end-to-end development and deployment of a scalable and secure Lakehouse architecture.

• Define best practices for data ingestion, storage, transformation, and processing using modern cloud technologies.

• Architect data pipelines using ETL/ELT frameworks to support structured, semi-structured, and unstructured data.

• Optimize data modeling strategies to meet the analytical and performance needs of stakeholders.

• Evaluate and select appropriate cloud technologies, frameworks, and architectures.

• Develop and maintain efficient, automated data pipelines that integrate data from multiple sources ( Oracle, BigQuery, MongoDB, Google Analytics, etc ).

• Implement distributed data processing frameworks using tools like Apache Spark and Dataflow.

• Ensure optimal query performance tuning and cost-effective cloud resource utilization.

• Establish and enforce data governance policies, ensuring adherence to compliance regulations such as GDPR and CCPA.

• Implement robust data access control and security measures across multi-tenant environments.

• Define data lineage, cataloging, and metadata management to enable data democratization.

• Stay abreast of developments in cloud data platforms, AI integrations, and analytics technologies to drive innovation.

• Evaluate and recommend emerging data technologies to enhance efficiency and scalability.

• Lead Proof of Concepts (POCs) to validate new approaches and technologies.

• Qualification: BE/BTech from top institutes in India (eg, IIT, NIT, BITS, VJTI, COEP).

• Experience: 8+ years of experience in data engineering, with a proven track record of implementing large-scale data solutions.

• Extensive experience with cloud platforms (AWS, GCP, or Azure), specifically in data warehouse/lakehouse implementations.

• Expertise in modern data architectures with tools like Databricks, Snowflake, or BigQuery.

• Strong background in SQL, Python, and distributed computing frameworks ( Spark, Dataflow, etc).

• Experience building high-volume, reliable data pipelines for real-time and batch processing.

• In-depth knowledge of data modeling principles (eg, Star Schema, Snowflake Schema).

• Experience in enabling AI tools to consume data from the Lakehouse, including implementing semantic layers.

• Strong understanding of data governance, security, and compliance frameworks.

• Cloud Platforms: AWS, GCP, Azure.

• Data Processing Tools: Apache Spark, Databricks, Airflow, Dataflow, dbt.

• Programming & Scripting: Python, SQL, Scala (advantage).

• Database Systems: Oracle, BigQuery, MongoDB.

• CI/CD & Infrastructure as Code: Git, Jenkins.

• Security & Compliance: Role-based access control (RBAC), encryption, data masking.

• Understanding BI tools data needs ( Tableau, Power BI, Looker ).

• Excellent problem-solving abilities and strategic thinking mindset.

• Strong leadership and collaboration skills to guide and influence technical teams.

• Effective communication skills to present technical concepts to non-technical stakeholders.

• Ability to work independently and manage multiple priorities in a fast-paced environment.

• A Culture of Innovation: We dont take up maintenance projects. Our customers come to us for our technology expertise.

• Endless Learning Opportunities: Stay ahead of the curve by constantly exploring advancements in your field, applying them to create products that are better, faster, and simpler.

• Talented Peers: All developers at Talentica are experienced graduates from Indias top 20 engineering colleges - the IITs, NITs and a few select colleges.

• Flexibility to Fit Your Life: We prioritize work-life balance and offer flexible schedules with remote working options