Years of Experience: 12 to 15 Yrs
Location: Bengaluru
Working Mode: Hybrid (4 Days WFO)

We are seeking for a Data Architect with over a decade of experience designing scalable data platforms and enterprise data models. This role requires strong knowledge of SQL/NoSQL databases, distributed systems, and cloud ecosystems across AWS, Azure, or GCP. The ideal candidate will build high-volume data pipelines, real-time streaming solutions, and robust ETL/ELT frameworks. Proficiency with tools like Spark, Databricks, Snowflake, and major integration platforms is essential. You will design secure, compliant data architectures aligned with GDPR, HIPAA, or CCPA. Additionally, you will drive data governance practices including cataloguing, lineage, and access control.

Key Responsibilities:
Experience in understanding and translating data, analytic requirements and functional needs into technical requirements while working with global customers.
Design cloud-native data architectures that support scalable, real-time, and batch processing.




Build and maintain data pipelines to support large scale data management in alignment with data strategy and data processing standards.
Define strategies for data modeling, data integration, and metadata management.
Solid experience in database, data warehouse, data lake design & architecture.
Leverage cloud platforms (AWS, Azure, GCP, etc.) for data storage, compute, and analytics services such as Azure Synapse, AWS Redshift, or Google Big Query.
Experience in Database programming using multiple flavor of SQL.
Implement data governance frameworks, including data quality, lineage, and cataloguing.
Collaborate with cross-functional teams, including business analysts, data engineers, and DevOps teams.
Experience in Big Data ecosystem - on-prem (Hortonworks/MapR) or Cloud (Dataproc/EMR/HDInsight/Databricks/Snowpark)
Evaluate emerging cloud technologies and recommend improvements to data architecture.
Experience in any orchestration tool such a

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