Data Architect
4 days ago
Experience
: 8 - 12 years
Mode of interview : Virtual
Location
: Pune / Chennai
JOB DESCRIPTION: Must have: Proficiency in SQL, data modeling tools, and pipeline orchestration tools. Familiar with modern data stacks (Snowflake, Databricks, Apache Spark, Kafka). Hands-on experience with at least one major cloud provider: AWS: S3, Glue, Redshift, Lake Formation, Athena, EMR Azure: Synapse, Data Factory, Data Lake Gen2, Databricks, Cosmos DB GCP: BigQuery, Dataflow, Pub/Sub, Cloud Composer, Dataplex Solid understanding of security best practices (IAM, encryption, data masking, tokenization). Strong knowledge of data governance, cataloging, and metadata management. Excellent communication and stakeholder engagement skills.
Good to have: Cloud certifications Experience with AI/ML data pipelines or MLOps integration. Familiarity with Data Mesh, Data Fabric, or event-driven architectures
Responsibilities: Design and implement enterprise-wide data architecture strategies in the cloud (AWS, Azure, GCP, or multi-cloud). Architect data lakes, lakehouses, data warehouses, and real-time streaming platforms. Define and enforce data modeling standards (dimensional, NoSQL, normalized) across the organization. Collaborate with data engineers, analysts, scientists, and DevOps to translate business needs into scalable data solutions. Design data ingestion pipelines (batch, stream) using modern ETL/ELT frameworks. Ensure high levels of data quality, security, lineage, and governance. Evaluate and recommend cloud-native services and tools based on evolving needs. Create architecture documentation, data flow diagrams, and reference implementations. Drive data modernization efforts and lead legacy-to-cloud migration initiatives. Stay up to date with emerging trends in cloud data platforms, AI/ML workloads, and data compliance regulations.
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