Remote Data Engineering Leader: Platform & Analytics

ADP, Inc.; United States; Remote; USD 150,000 - 175,000; Full time

Benefits offered by this job

Competitive salary and bonus program

Fully remote work environment

PTO 19 days + 10 holidays per year

Job summary

Staritas is seeking a Senior Manager, Data Engineering to lead our enterprise data engineering function, including platform strategy, modernization, and governance. You will guide teams across Technology, Product, Analytics, Security, and Operations to deliver trusted, secure data capabilities.

The role requires 10+ years in data engineering, 5+ years of leadership, and strong experience with cloud data platforms, ETL/ELT, and data governance. Remote work is supported with occasional travel.

Qualifications

• Bachelor-level degree in a technical field or equivalent experience.
• 10+ years delivering enterprise data platforms and data engineering work.
• 5+ years leading data engineers and architects.
• Proven ability to deliver data platforms, governance, and roadmaps.
• Strong SQL and experience with relational and analytical databases.
• Cloud data platforms and modern data stack expertise.

Responsibilities

• Lead and develop a high-performing data engineering team.
• Own the data engineering roadmap, delivery planning, and platform reliability.
• Collaborate on data strategy with CTO and technology leaders.
• Deliver ELT/ETL pipelines, data warehouses/lakes, and analytic data products.
• Set standards for data modeling, CI/CD, testing, and production support.
• Improve data quality, observability, lineage, and DataOps practices.
• Reduce data duplication, manual reporting, and production issues.
• Support AI/ML initiatives with governed data foundations.
• Foster ownership, accountability, collaboration, and ongoing improvement.

Skills

Data engineering

Leadership

ELT/ETL pipelines

Data warehousing

Data modeling

SQL

Cloud platforms

Data governance

Data quality

Stakeholder management

CI/CD

Education

Bachelor’s degree in Computer Science, Information Systems, Data Engineering, Engineering, Mathematics, or related field

Equivalent experience considered

Tools

Informatica

Spark

PySpark

Airflow

dbt

Databricks

Snowflake

BigQuery

Redshift

Azure Data Factory

AWS Glue

Power BI

GitHub

GitLab

Jira

Confluence

Job description

Staritas is seeking a Senior Manager, Data Engineering to lead our enterprise data engineering function, including platform strategy, modernization, and governance. You will guide teams across Technology, Product, Analytics, Security, and Operations to deliver trusted, secure data capabilities.

The role requires 10+ years in data engineering, 5+ years of leadership, and strong experience with cloud data platforms, ETL/ELT, and data governance. Remote work is supported with occasional travel.