Director of Data Platform & Analytics Ops

Apryse

Colorado

Hybrid

USD 180,000 - 240,000

Full time

14 days+
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Benefits offered by this job

Health, dental & vision coverage
WFH allowance
Generous PTO

Job summary

Apryse is seeking a Director of Data Platform & Operations to act as the technical backbone and people leader of the data organization. You will architect and maintain data infrastructure, lead Data Engineering, Data Governance, and BI/Analytics teams, and own the data foundation for AI initiatives.

This hands-on leadership role blends architecture, engineering, people management, and strategic partnership with the business to ensure trustworthy, accessible data for analytics and AI-powered

Qualifications

  • Experience architecting and delivering enterprise-scale data platforms and pipelines.
  • Strong SQL/DDL skills and working proficiency in Python for data engineering tasks.
  • Experience with dimensional modeling and schema design, and ownership of a data warehouse or lakehouse.

Responsibilities

  • Lead and grow the Data Engineering, Data Governance, and BI/Analytics teams.
  • Own the BI strategy — define how the business accesses trusted data.
  • Design and own the overall data platform: warehouse/lakehouse structure and data modeling standards.
  • Build, orchestrate, and maintain data pipelines from source systems to governed models.
  • Manage cloud data infrastructure and cost optimization.
  • Translate business requirements into technical initiatives and roadmaps.

Skills

SQL/DDL
Python
Leadership
Data Architecture
Data Governance
BI/Analytics
Cloud platforms

Tools

Azure
AWS
Databricks
Spark

Job description

Apryse is seeking a Director of Data Platform & Operations to act as the technical backbone and people leader of the data organization. You will architect and maintain data infrastructure, lead Data Engineering, Data Governance, and BI/Analytics teams, and own the data foundation for AI initiatives.

This hands-on leadership role blends architecture, engineering, people management, and strategic partnership with the business to ensure trustworthy, accessible data for analytics and AI-powered

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