AWS Data Architect Lead — Cloud Data & Analytics

EXL

Jersey City (NJ)

Hybrid

USD 140,000 - 190,000

Full time

14 days+

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Job summary

EXL in Jersey City, NJ is seeking an experienced AWS Lead Data Engineer to drive enterprise data modernization for insurance and financial services. The role blends hands-on technical work with cross‑functional coordination across onshore and offshore teams, business stakeholders, and project leadership.

The ideal candidate will architect scalable data pipelines, optimize performance, and lead cloud migration initiatives while ensuring data quality and governance across the stack.

Qualifications

  • 10+ years of progressive experience in data engineering.
  • Insurance/financial services or regulated industries preferred.
  • Experience coordinating distributed teams across time zones.

Responsibilities

  • Design and implement end-to-end data pipelines using PySpark, Snowflake, and AWS services.
  • Architect scalable ELT/ETL workflows and data warehouse models for insurance analytics.
  • Drive data migration to cloud-native platforms and modernize legacy environments.
  • Develop and review complex SQL transformations and data quality validation frameworks.
  • Mentor engineers and conduct code reviews to uphold quality standards.
  • Coordinate onshore/offshore teams and communicate project progress to stakeholders.

Skills

Snowflake data modeling
AWS services (S3, Glue, Lambda, Redsh1

Education

Bachelor's degree in computer science or related field

Tools

dbt
Apache Airflow
AWS Glue

Job description

EXL in Jersey City, NJ is seeking an experienced AWS Lead Data Engineer to drive enterprise data modernization for insurance and financial services. The role blends hands-on technical work with cross‑functional coordination across onshore and offshore teams, business stakeholders, and project leadership.

The ideal candidate will architect scalable data pipelines, optimize performance, and lead cloud migration initiatives while ensuring data quality and governance across the stack.

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