Data Architect

Mindsprint Pte. Ltd.; Bengaluru; On-site; INR 4,000,000 - 8,000,000; Full time

Job summary

Mindsprint Pte. Ltd. is seeking a senior data architect to own and define the enterprise data architecture, including cloud lakehouse platforms, ingestion pipelines, canonical data models and governance.

You will enable analytics and GenAI workloads across the organization. The role covers designing data lakes/lakehouses on Azure and Databricks, building real-time pipelines, modernizing ETL/ELT, and leading PoCs while mentoring global teams.

Qualifications

• 15+ years in data engineering and architecture, including 5+ years as lead/principal architect.
• Strong Spark (PySpark/Scala), SQL and Python; Delta Lake / lakehouse design.
• Streaming with Kafka or Spark Structured Streaming.
• Delivered at least two large cloud data platform or migration programs end to end.
• Data modelling (dimensional, Data Vault, canonical) and data governance frameworks.
• Clear communicator with executive stakeholders.

Responsibilities

• Define data strategy, reference architectures, architecture principles and target-state roadmaps aligned to business goals.
• Design enterprise-scale data lakes, lakehouses and modern data warehouses on Azure and Databricks.
• Architect batch and real-time pipelines (Spark, Kafka, Event Hubs, ADF, Airflow).
• Lead ETL/ELT modernization and migrations to cloud.
• Build reusable metadata-driven frameworks for ingestion, data quality, lineage and testing.
• Set standards for canonical data models and data products.
• Own data governance and security: cataloguing, lineage, access control, privacy and compliance.
• Prepare data foundations for AI, including feature stores and vector/graph stores.
• Run architecture reviews, performance tuning and cloud cost optimization.
• Advise clients, lead PoCs, support RFP/RFI and presentations.
• Mentor data engineers and architects across global teams.

Skills

Spark/PySpark/Scala

SQL

Python

Delta Lake / Lakehouse

Streaming (Kafka / Spark)

Data Modeling & Governance

Cloud Data Platforms

Executive Stakeholder Communication

Education

B.E./B.Tech or M.Tech in CS/EE

Tools

Databricks

Azure Data Factory (ADF)

Unity Catalog

Purview

dbt

Microsoft Fabric

Hadoop Ecosystem

Kafka

Delta Lake

Job description

14 - 19 Years

Permanent Full Time

Job Summary:

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.

Job Description:

• Define data strategy, reference architectures, architecture principles and target-state roadmaps aligned to business goals.
• Design enterprise-scale data lakes, lakehouses, modern data warehouses and common data platforms on Azure and Databricks (Microsoft Fabric a plus).
• Architect batch and real-time pipelines (Spark, Kafka, Event Hubs, ADF, Airflow) for structured, semi-structured and unstructured data.
• Lead ETL/ELT modernization and migrations from on-premise Hadoop, Informatica or legacy warehouses to cloud.
• Build reusable, metadata-driven frameworks for ingestion, data quality, lineage and integration testing, and drive their adoption across delivery teams.
• Set standards for canonical data models, API-led and event-driven integration, and data products.
• Own data governance and security: cataloguing, lineage, access control (Unity Catalog, Purview, Ranger/Atlas), privacy and compliance.
• Prepare data foundations for AI: feature stores, document pipelines, vector and graph stores for RAG and knowledge-graph use cases.
• Run architecture reviews, performance tuning, scalability planning and cloud cost optimization.
• Advise clients and executives, lead PoCs, and support RFP/RFI responses and solution presentations.
• Mentor data engineers and architects across global teams.

Profile Description:

Must-have:

• 15+ years in data engineering and architecture, including 5+ years as a lead or principal architect.
• Strong Spark (PySpark/Scala), SQL and Python; Delta Lake / lakehouse design.
• Streaming with Kafka or Spark Structured Streaming.
• Delivered at least two large cloud data platform or migration programs end to end.
• Data modelling (dimensional, Data Vault, canonical) and data governance frameworks.
• Clear communicator with executive stakeholders.

Good to have:

• AWS (Glue, EMR, Redshift) or GCP (BigQuery, Dataflow) experience.
• Microsoft Fabric, dbt, Unity Catalog, Purview.
• Hadoop ecosystem background (Hive, HBase, Cloudera/Hortonworks).
• Graph databases (JanusGraph, Neo4j) and search (Solr, Elasticsearch).
• Domain experience in supply chain, agri/food, manufacturing, energy or retail.
• Certifications: Azure Data Engineer / Solutions Architect, Databricks, AWS or GCP data.

Education:

B.E./B.Tech or M.Tech in Computer Science, Electronics or a related field.

Job Snapshot

• Updated Date: 20-10-2026
• Job ID: J_3024
• Organisation Unit: Technology