BFSI Lead / Delivery Director Data Engineering

Overview

$DOE
Full Time
Accepts corp to corp applications
Contract - FTE

Skills

Kafka
Data Engineering
Spark
Airflow
BFSI
Pytho

Job Details

HMG America LLC is the best Business Solutions focused Information Technology Company with IT consulting and services, software and web development, staff augmentation and other professional services. One of our direct clients is looking for BFSI Lead / Delivery Director Data Engineering in USA. Below is the detailed job description.

Role: BFSI Lead / Delivery Director Data Engineering
Experience: 15+ years overall, with 6+ years in a lead/architect role
Location: USA (Open / Remote)
Employment Type: Full-time

About the Role:
We are looking for a Data Engineering Lead with strong experience in the Banking, Financial Services, and Insurance (BFSI) domain to oversee technology initiatives across multiple accounts. The ideal candidate will drive end-to-end data engineering solutions - from architecture design to delivery - ensuring scalability, performance, and adherence to BFSI standards.

Key Responsibilities:

  • Lead and mentor a team of 8 12 data engineers across multiple projects and accounts.
  • Design and implement hybrid data platforms integrating on-premise and cloud (AWS, Azure, Google Cloud Platform) environments.
  • Develop and optimize data pipelines using Spark (batch/streaming), Kafka, Airflow, Azure Data Factory, and Python/PySpark.
  • Work with data warehouses and databases such as Snowflake, Teradata, Oracle, SQL Server.
  • Partner with business and technology stakeholders to deliver data-driven solutions for customer analytics, risk & fraud detection, regulatory reporting (BCBS 239, CCAR), and payment systems.
  • Define and implement cloud migration strategies, API integrations, and microservices-based architectures.
  • Ensure data governance, compliance, and best practices for BFSI clients.

Key Requirements:

  • Proven experience leading data engineering teams in the BFSI domain.
  • Hands-on expertise in AWS, Azure, or Google Cloud Platform cloud platforms.
  • Strong proficiency in Spark, Kafka, Airflow, Python/PySpark, and orchestration tools.
  • Solid understanding of financial data models, risk frameworks, and regulatory requirements.
  • Experience designing scalable and secure hybrid data architectures.
  • Excellent communication, stakeholder management, and leadership skills.

Nice to Have:

  • Exposure to AI/ML integration within data platforms.
  • Experience with real-time analytics and event-driven architectures.
  • BFSI certifications (FRM, CFA) or cloud certifications (AWS/Azure/Google Cloud Platform).

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