
Data Architect
3 weeks 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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