8 - 13 years

35 - 45 Lacs

Posted:2 days ago| Platform: Naukri logo

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Work Mode

Hybrid

Job Type

Full Time

Job Description

Note: We're permanent staffing company. We're hiring for our client. Payroll will be directly managed by end client.

Job Summary

We are seeking a skilled Data Architect to lead the design and implementation of high-performance, scalable data platforms. This role involves architecting modern data lakes, warehouses, and streaming systems using Databricks and cloud technologies. If you enjoy solving complex data challenges and driving data-driven decision-making, this role is for you.

Key Responsibilities

  • Design and implement 

    scalable data lakes, data warehouses, and real-time streaming architectures

  • Build, optimize, and manage 

    Databricks solutions

     using 

    Spark, Delta Lake, Workflows, and SQL Analytics

  • Develop 

    cloud-native data platforms

     on 

    Azure

     (Synapse, Data Factory, Data Lake) and 

    AWS

     (Redshift, Glue, S3)
  • Create and automate 

    ETL/ELT pipelines

     using 

    Apache Spark, PySpark

    , and cloud tools
  • Design and maintain 

    data models

     (dimensional, normalized, star schemas) to support analytics and reporting
  • Leverage 

    big data technologies

     such as 

    Hadoop, Kafka, and Scala

     for large-scale data processing
  • Ensure 

    data governance, security, and compliance

     with standards like 

    GDPR and HIPAA

  • Optimize 

    Spark workloads and storage

     for performance and cost efficiency
  • Collaborate with engineering, analytics, and business teams to align data solutions with organizational goals

Required Skills & Qualifications

  • 8+ years

     of experience in 

    Data Architecture, Data Engineering, or Analytics

  • Strong hands-on experience with 

    Databricks

     (Delta Lake, Spark, MLflow, Pipelines)
  • Expertise in 

    Azure

     (Synapse, Data Factory, Data Lake) and 

    AWS

     (Redshift, S3, Glue)
  • Proficient in 

    SQL

     and 

    Python or Scala

  • Experience with 

    NoSQL databases

     (e.g., MongoDB) and 

    streaming platforms

     (e.g., Kafka)
  • Solid understanding of 

    data governance, security, and compliance

     best practices
  • Excellent 

    problem-solving, communication, and cross-functional collaboration

     skills.

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