Data Platform Lead: Cloud Analytics, GenAI & Snowflake

Siri InfoSolutions Inc

Jersey City (NJ)

On-site

USD 140,000 - 210,000

Full time

14 days+
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Job summary

Siri InfoSolutions Inc in Jersey City, NJ, seeks a senior data platform architect/engineer to design, implement, and govern cloud-native data platforms across AWS, Snowflake, and related services for enterprise analytics.

You will lead modernization efforts, guide data modeling, ETL/ELT architectures, and apply GenAI concepts within the SDLC, collaborating with business and technology teams to deliver scalable data solutions for insurance and analytic workloads.

Qualifications

  • Extensive experience designing and governing cloud-native data platforms (AWS, Snowflake).
  • Expertise in Data Warehousing, data modeling, ETL/ELT architectures.
  • Hands-on with Python, PySpark, Informatica, DataStage, and AWS Glue.
  • Leadership in modern data platforms, data lakes/lakehouses, and real-time processing.
  • Familiarity with GenAI in SDLC and insurance data ecosystems.

Responsibilities

  • Design, architect, and implement scalable, secure, and high-performance data platforms for enterprise analytics.
  • Partner with business stakeholders to translate objectives into scalable data architecture and roadmaps.
  • Evaluate emerging data technologies; include AWS Glue, PySpark, Snowflake, GenAI agents.
  • Lead modernization of legacy data ecosystems and migrate to cloud-native platforms.
  • Define data integration strategies across core insurance platforms like Duck Creek and related systems.

Skills

Cloud data platforms
Data modeling
ETL/ELT architecture
GenAI in SDLC
Leadership

Tools

AWS
Snowflake
PySpark
Informatica
DataStage
AWS Glue

Job description

Siri InfoSolutions Inc in Jersey City, NJ, seeks a senior data platform architect/engineer to design, implement, and govern cloud-native data platforms across AWS, Snowflake, and related services for enterprise analytics.

You will lead modernization efforts, guide data modeling, ETL/ELT architectures, and apply GenAI concepts within the SDLC, collaborating with business and technology teams to deliver scalable data solutions for insurance and analytic workloads.

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