Pattern
Pattern6mo ago

Staff Data Engineer

IndiaIndia·PuneFull-time (Salary)lead
OtherData EngineeringData EngineerStaff Data EngineerData & AI
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Quick Summary

Overview

Role Overview As a Staff Data Engineer, you’ll be a technical leader and systems thinker within Pattern’s Data Engineering team—designing and scaling our canonical data model to deliver trusted,

Technical Tools
OtherData EngineeringData EngineerStaff Data EngineerData & AI
Role Overview

As a Staff Data Engineer, you’ll be a technical leader and systems thinker within Pattern’s Data Engineering team—designing and scaling our canonical data model to deliver trusted, high-quality data. You’ll transform complex, raw data with a set of efficient pipelines into tables that are easy to understand and efficient to power analytics, forecasting, and AI/ML. You’ll lead through influence, shaping technical direction, mentoring engineers, and building the “single source of truth” that drives Pattern’s global growth.
  • Design and evolve canonical and medallion-layer data models (bronze/silver/gold) that enable scalable, governed data across the organization.
  • Build and optimize ETL/ELT pipelines using Apache Airflow, Spark, Trino and cloud-native tools.
  • Develop high-performance data marts and semantic layers that serve analytics and data science needs.
  • Architect streaming and analytical systems using Kafka and ClickHouse for real-time and batch insights.
  • Define and enforce standards for data modeling, documentation, quality, and lineage across all domains.
  • Partner with Analytics, AI/ML, and Infrastructure teams to translate business logic into reusable, trusted data assets.
  • Mentor engineers, lead design reviews, and drive continuous improvement in scalability and data reliability.
  • Champion a culture of data clarity, consistency, and craftsmanship, aligning systems to business goals.
  • Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field.
  • 10+ years of experience in Data Engineering, including 2+ years in a senior or staff-level technical role.
  • Expertise in SQL, data modeling, and data mart design.
  • Deep hands-on experience with Apache Airflow, dbt, Spark, Kafka, and ClickHouse.
  • Proven experience designing medallion data architectures and scalable data lakehouse solutions.
  • Proficiency in Python or Scala, and familiarity with AWS, GCP, or Azure data ecosystems.
  • Strong understanding of data governance, lineage, and quality frameworks.
  • Demonstrated ability to mentor engineers and influence architectural strategy across teams.
  • Experience with real-time or streaming data (Kafka, Kinesis, or Pub/Sub).
  • Knowledge of data observability and catalog tools (DataHub, Amundsen, Monte Carlo, Great Expectations, or Soda).
  • Experience in eCommerce, retail analytics, or digital marketplaces.
  • Exposure to governed data contracts and semantic layer frameworks.
  • Proven track record of leading data architecture initiatives or cross-functional platform modernization.
  • Contributions to open-source data tools or engagement in data community initiatives

    • Location & Eligibility

    Where is the job
    Pune, India
    Hybrid — some on-site time required
    Who can apply
    IN
    Listed under
    India

    Listing Details

    Posted
    October 27, 2025
    First seen
    March 26, 2026
    Last seen
    May 5, 2026

    Posting Health

    Days active
    40
    Repost count
    0
    Trust Level
    24%
    Scored at
    May 5, 2026

    Signal breakdown

    freshnesssource trustcontent trustemployer trust
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