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Data Platform Architect

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Onsite

Data Platform Architect

Captalent Hr

Data Platform Architect

Skills

Google Cloud PlatformSQL QueriesData EngineeringDockerPythonAmazon EC2SnowflakeAmazon RedshiftDatabricksAWSdbtPySparkApache AirflowAzure

2 months ago

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Important information


Contract type:

Permanent

Location:

Chennai, Tamil Nadu, India

Work mode:

Onsite

Published on:

24 August 2026

What they need


We're hiring : Data Platform Architect

Work Setup: Remote (flexible to come office as per the need basis.)
Shifts : UK Shifts
Experience : 8+ years

Notice period: Immediate or currently serving a notice period (15 days).

Mandatory Skill Sets :
Experience migrating or architecting a Data Lakehouse (Databricks) with open source technologies.
Experience with tools like DBT, K8, Docker, and OpenLineage.

Role:
The Data Platform Architect is the lead designer and technical authority
for our modern data ecosystem. Architect is responsible for ensuring the platform provides a high-performance, cost-effective, and secure foundation that evolves alongside business needs. This is a "design-and-direction" role where you set the standards, review engineering output, and serve as the primary bridge between complex technical systems and business value.

Technical Skills & Experience:

  • 8+ Years in Data Engineering / Architecture: Proven experience delivering
    production-grade Lakehouse environments for high-concurrency (1,000+ user) organizations.
    • Modern Data Stack Fluency: Extensive experience
      with Databricks (Lakehouse/Unity Catalog) and high-performance warehouses like Amazon Redshift or Snowflake.
    • Open-Table Formats: Deep hands-on expertise with Apache Iceberg or Delta Lake, including optimization strategies for partitioning and schema evolution.
    • Transformation & Modeling: Mastery of dbt (Core) for complex SQL-based modeling and PySpark or Python for sophisticated data processing.
    • High-Efficiency Compute: Familiarity with vectorized/embedded engines like DuckDB for specialized or cost-sensitive processing tasks.
    • Orchestration Mastery: Advanced experience with Apache Airflow, specifically
      in designing resilient, dependency-aware DAGs in resource-constrained environments.
    • Cloud Ecosystems: Expert-level knowledge of AWS (S3, EC2, IAM) or equivalent services in Azure/GCP, with a focus on storage-compute separation.
    • Experience with open-source catalog implementations like Apache Polaris.

Interested candidates can send their resumes to [email protected]

Regards,

HR Manager

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