Data Architect

<p><b><u>Job Summary:</u></b></p><p>You will define and own Mindsprint's enterprise data architecture: cloud lakehouse platforms, ingestion and streaming pipelines, canonical data models and governance. The platforms you design will feed enterprise analytics and our GenAI and agentic AI workloads.</p><p><u><b>Job Description:</b></u></p><ul><li>Define data strategy, reference architectures, architecture principles and target-state roadmaps aligned to business goals.</li><li>Design enterprise-scale data lakes, lakehouses, modern data warehouses and common data platforms on Azure and Databricks (Microsoft Fabric a plus).</li><li>Architect batch and real-time pipelines (Spark, Kafka, Event Hubs, ADF, Airflow) for structured, semi-structured and unstructured data.</li><li>Lead ETL/ELT modernization and migrations from on-premise Hadoop, Informatica or legacy warehouses to cloud.</li><li>Build reusable, metadata-driven frameworks for ingestion, data quality, lineage and integration testing, and drive their adoption across delivery teams.</li><li>Set standards for canonical data models, API-led and event-driven integration, and data products.</li><li>Own data governance and security: cataloguing, lineage, access control (Unity Catalog, Purview, Ranger/Atlas), privacy and compliance.</li><li>Prepare data foundations for AI: feature stores, document pipelines, vector and graph stores for RAG and knowledge-graph use cases.</li><li>Run architecture reviews, performance tuning, scalability planning and cloud cost optimization.</li><li>Advise clients and executives, lead PoCs, and support RFP/RFI responses and solution presentations.</li><li>Mentor data engineers and architects across global teams.</li></ul><p><b><u>Profile Description:</u></b></p><p><b>Must-have:</b></p><ul><li>15+ years in data engineering and architecture, including 5+ years as a lead or principal architect.</li><li>Deep hands-on Azure data stack: Data Factory, Databricks, Synapse, Event Hubs, Cosmos DB, Functions.</li><li>Strong Spark (PySpark/Scala), SQL and Python; Delta Lake / lakehouse design.</li><li>Streaming with Kafka or Spark Structured Streaming.</li><li>Delivered at least two large cloud data platform or migration programs end to end.</li><li>Data modelling (dimensional, Data Vault, canonical) and data governance frameworks.</li><li>Clear communicator with executive stakeholders.</li></ul><p><b>Good to have:</b></p><ul><li>AWS (Glue, EMR, Redshift) or GCP (BigQuery, Dataflow) experience.</li><li>Microsoft Fabric, dbt, Unity Catalog, Purview.</li><li>Hadoop ecosystem background (Hive, HBase, Cloudera/Hortonworks).</li><li>Graph databases (JanusGraph, Neo4j) and search (Solr, Elasticsearch).</li><li>Domain experience in supply chain, agri/food, manufacturing, energy or retail.</li><li>Certifications: Azure Data Engineer / Solutions Architect, Databricks, AWS or GCP data.</li></ul><p><b>Education: </b>B.E./B.Tech or M.Tech in Computer Science, Electronics or a related field.</p><div><br /></div>