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Lead Data Architect (12+ Years) Snowflake + ADF

15 years

0 Lacs

india

Posted:20 hours ago| Platform: Linkedin logo

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Skills Required

data adf design leadership collaboration engineering analytics support ai ml drive architecture databricks azure apache spark scalability orchestration governance management security automation etl query kafka cataloging compliance aws communication

Work Mode

Remote

Job Type

Contractual

Job Description

Job Title: Data Architect

Experience:

12–15 Years

Location:

Remote

Employment Type:

Contract

About the Role

Data Architect

scalable batch and real-time data ecosystems

Key Responsibilities

  • Define and drive the

    enterprise data architecture strategy

    aligned with analytics, BI, and AI/ML goals.
  • Architect, design, and implement

    Data Lakes, Data Warehouses, and Lakehouse architectures

    on modern cloud platforms.
  • Lead data platform modernization initiatives with a strong focus on

    Snowflake

    , along with

    Databricks, Azure Data Factory, Apache Spark, and Python

    .
  • Design, build, and optimize

    batch and streaming data pipelines

    to ensure scalability, performance, and reliability.
  • Establish reusable frameworks for

    data ingestion, transformation, orchestration, and automation

    .
  • Define and enforce

    data governance, metadata management, data quality, and security standards

    .
  • Collaborate closely with business stakeholders, data engineers, analytics teams, and leadership to ensure alignment with enterprise needs.
  • Provide

    technical leadership and mentorship

    to data engineering teams, promoting best practices and architectural standards.
  • Continuously evaluate emerging data technologies to drive innovation and platform modernization.

Required Skills & Experience

  • 12–15 years

    of overall IT experience, including

    8+ years

    in a Data Architect or Senior Data Architecture role.
  • Proven experience designing and implementing

    enterprise-scale Data Lakes, Data Warehouses, and Lakehouse solutions

    .
  • Strong hands-on expertise in:

  • Snowflake

    (primary and preferred platform)

  • Databricks

    and

    Apache Spark

    (batch and streaming)

  • Azure Data Factory (ADF)

    for orchestration and data integration

  • Python

    for data engineering, automation, and custom transformations
  • Strong understanding of

    ETL/ELT architecture

    , data modeling, schema design, and query optimization.
  • Hands-on experience with

    real-time streaming technologies

    such as Kafka, Spark Streaming, Event Hubs, or similar.
  • Solid knowledge of

    data governance, metadata management, lineage, cataloging, and compliance frameworks

    .
  • Experience with

    cloud-native data services

    on

    Azure, AWS, or GCP

    .
  • Excellent communication, analytical, problem-solving, and leadership skills.

Work Location

  • Remote


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