Data Engineering Tech Lead

Overview

Remote
Depends on Experience
Full Time
No Travel Required

Skills

Snowflake
Databricks
Airflow
Astronomer
Python
Azure
Kafka
Tableau
Power BI
Analytics
governance

Job Details

AgreeYa is a global Systems Integrator and is seeking an experienced Data Engineering Tech Lead to join our growing team. The Tech Lead-Data Engineering is a senior technical owner responsible for the architecture, reliability, and evolution of core data platforms powering financial operations, risk, analytics, and AI.

Experience Required:

Minimum 10+ years building and operating large-scale, distributed data platforms, ideally in fintech or financial environments.

Proven ability to design systems with strong correctness, availability, and observability guarantees.

Strong experience with DevOps, CI/CD, Infrastructure-as-Code, and automation.

Demonstrated success leading complex, multi-year data platform initiatives and influencing senior technical and business stakeholders.

Skills Required:

Deep, hands-on expertise with:

    • Snowflake, Databricks, Airflow (Astronomer), Python, SQL
    • Azure cloud infrastructure
    • Kafka / Event Hub, batch and streaming architectures
    • Airbyte, CDC, and modern ingestion patterns
    • Open table formats (Iceberg, Delta)
    • Analytics and governance tooling (Atlan, Tableau, Power BI)
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