Data Architect

12 - 17 years

13 - 18 Lacs

Posted:10 hours ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

Overview:

We are seeking an experienced

Data Architect

with over 12 years of expertise in data engineering, big data, and cloud data solutions particularly on

Microsoft Azure

. The ideal candidate will have a proven track record of delivering scalable data architectures, building enterprise data lakes, leading complex migrations, and architecting real-time and batch data pipelines. You ll be responsible for end-to-end architecture from data ingestion and transformation to governance, analytics, and performance optimization.

Key Responsibilities:

  • Architecture & Design

    • Design scalable, high-performance, cloud-native data architectures using

      Azure Data Lake, Azure Synapse, and Databricks

      .
    • Develop high-level and low-level architecture documents (HLD/LLD) for modern data platforms.
    • Define data models using

      star and snowflake schemas

      , optimizing for analytics and query performance.
  • Data Engineering & ETL

    • Lead the development of ETL/ELT pipelines using

      Azure Data Factory

      ,

      PySpark

      ,

      Spark SQL

      , and

      Databricks

      .
    • Manage ingestion of structured and semi-structured data from diverse sources to Azure-based data lakes and warehouses.
    • Implement real-time data pipelines using

      Azure Event Hubs

      and

      Structured Streaming

      .
  • Governance & Security

    • Define and implement data governance frameworks including

      lineage, cataloging, access controls

      , and compliance (e.g.,

      GDPR

      ).
    • Collaborate with MDM and governance teams using tools like

      Informatica AXON

      and

      EDC

      .
  • Performance Tuning & Optimization

    • Drive cost-efficient architecture design with partitioning, caching, indexing, and cluster optimization.
    • Monitor and troubleshoot data pipelines using

      Azure Monitor

      ,

      Log Analytics

      , and

      Databricks tools

      .
  • Stakeholder Engagement

    • Collaborate with data scientists, analysts, business stakeholders, and DevOps teams to deliver robust, scalable data platforms.
    • Conduct design reviews and training sessions to support platform adoption and knowledge sharing.

Key Skills & Technologies:

  • Cloud Platforms:

    Azure (ADF, ADLS, Azure SQL, Synapse, Databricks), AWS (S3, RDS, EC2)
  • Big Data:

    Spark, Delta Lake, PySpark, Hadoop
  • ETL Tools:

    Azure Data Factory, Informatica, IBM DataStage
  • Data Modeling:

    Star, Snowflake, SCD, Fact & Dimension Tables
  • Programming:

    Python, PySpark, SQL, Shell Scripting, R
  • Visualization Tools:

    Power BI, Tableau, Cognos
  • Data Governance:

    Informatica MDM, AXON, EDC
  • Certifications Preferred:

    • Microsoft Certified: Azure Data Engineer Associate
    • Databricks Data Engineer Associate / Professional

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