Enterprise Data Architecture Lead

commergence • India
Remote
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AI Summary

Design and own enterprise-scale data architecture, lead ETL/ELT pipeline design, and evaluate cloud data platforms. Collaborate with engineering and analytics teams to translate business requirements into data products.

Key Highlights
Design enterprise-scale data architecture
Lead ETL/ELT pipeline design
Evaluate cloud data platforms
Key Responsibilities
Design and own enterprise-scale data architecture and conceptual/logical/physical data models to support analytics, reporting, and ML use-cases.
Lead design and optimisation of ETL/ELT pipelines and lakehouse/warehouse patterns to ensure low-latency, cost-efficient data delivery.
Evaluate, select, and operationalise cloud data platforms and managed services; define migration strategies and platform standards.
Collaborate with engineering, analytics, and product teams to translate business requirements into data products and contract-level schemas.
Establish data governance, lineage, security, and performance SLAs; implement observability and cost controls for data workloads.
Mentor engineers and enforce engineering best practices: CI/CD, testing, documentation, and architecture reviews.
Technical Skills Required
Data Modeling Data Warehousing Cloud Data Platforms Snowflake Databricks SQL Apache Kafka Apache Airflow
Benefits & Perks
Fully remote role with flexible hours
High-impact ownership and learning opportunities
Learning and development support for cloud certifications and conference participation
Nice to Have
Apache Airflow

Job Description


Role & Responsibilities

  • Design and own enterprise-scale data architecture and conceptual/logical/physical data models to support analytics, reporting, and ML use-cases.
  • Lead design and optimisation of ETL/ELT pipelines and lakehouse/warehouse patterns to ensure low-latency, cost-efficient data delivery.
  • Evaluate, select, and operationalise cloud data platforms and managed services; define migration strategies and platform standards.
  • Collaborate with engineering, analytics, and product teams to translate business requirements into data products and contract-level schemas.
  • Establish data governance, lineage, security, and performance SLAs; implement observability and cost controls for data workloads.
  • Mentor engineers and enforce engineering best practices: CI/CD, testing, documentation, and architecture reviews.

Skills & Qualifications

  • Must-Have
    • Data Modeling
    • Data Warehousing
    • Cloud Data Platforms
    • Snowflake
    • Databricks
    • SQL
  • Preferred
    • dbt
    • Apache Kafka
    • Apache Airflow
Benefits & Culture Highlights

  • Fully remote role with flexible hours and collaboration across India-focused product squads.
  • High-impact ownership: shape the data platform roadmap and influence product-level analytics and ML outcomes.
  • Learning and development support for cloud certifications and conference participation.

Why Apply: This is an opportunity to lead data architecture for a fast-evolving commerce data platform—drive technical strategy, modernize data delivery, and enable analytics and ML at scale in a product-driven, remote-friendly environment.

Skills: data modeling,data warehousing,snowflake,sql

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