Remote Data Platform Lead for AI & Analytics

NinjaHoldings

Chicago (IL)

Remote

USD 140,000 - 190,000

Full time

7 days ago
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Benefits offered by this job

Flexible Paid Time Off
Health Benefits with extensive medical
401(k) with matching contribution
Paid Family Leave
Annual Wellness & WFH Subsidies
Employee Referral Program
Remote first culture, with downtown NY

Job summary

NinjaHoldings seeks a data platform leader to drive analytics, AI readiness, and scalable data solutions. You will shape architecture, mentor a growing Data Engineering team, and guide technical decisions across Snowflake, PostgreSQL, and AWS.

You’ll champion data quality, self-service access, and cost efficiency while delivering a modern data warehouse roadmap and AI-enabled capabilities for the company.

Qualifications

  • 6+ years in Data Engineering or related field with leadership experience.
  • Strong experience with Snowflake, dbt, SQL, and modern ELT/ETL architectures.
  • Deep knowledge of PostgreSQL, data modeling, indexing, and performance.
  • Experience with Fivetran, Meltano, or similar data integration tools.
  • Understanding of Medallion architecture and data warehouse modernization.

Responsibilities

  • Lead the Data Engineering team and set the technical direction for the data platform.
  • Own the architecture and evolution of Snowflake, PostgreSQL, and data pipelines.
  • Drive the Medallion architecture transition and establish data standards.
  • Partner with engineering, analytics, product, and finance to deliver scalable data solutions.
  • Establish data quality, testing, observability, and security practices.

Skills

Data leadership
Snowflake
dbt
SQL
Medallion architecture
Data quality & observability
AWS
ELT architectures

Tools

Snowflake
dbt
Fivetran
Meltano
PostgreSQL
AWS

Job description

NinjaHoldings seeks a data platform leader to drive analytics, AI readiness, and scalable data solutions. You will shape architecture, mentor a growing Data Engineering team, and guide technical decisions across Snowflake, PostgreSQL, and AWS.

You’ll champion data quality, self-service access, and cost efficiency while delivering a modern data warehouse roadmap and AI-enabled capabilities for the company.

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