Remote Senior Data Engineering Leader | Platform & Strategy

Staritas; United States; On-site; USD 150,000 - 175,000; Full time

Benefits offered by this job

Fully remote work environment

PTO 19 days per year

Holidays 10 days per year

Performance bonus program

Job summary

Staritas is seeking a Senior Manager, Data Engineering to lead its enterprise data engineering function, including data platform strategy, roadmap execution, modernization, production operations, data quality, governance, and team development.

This role is ideal for a hands‑on data leader who can scale modern data platforms, improve reliability, guide technical standards, and partner across Technology, Product, Analytics, Security, Operations, and business teams to deliver trusted, secure, and

Qualifications

• 10+ years of technology experience, including data engineering, data architecture, analytics engineering, integration, or enterprise data platform delivery.
• 5+ years leading data engineers, analytics engineers, architects, technical leads, or similar teams.
• Proven experience delivering enterprise data platforms, production data operations, technical standards, and stakeholder-facing roadmaps.
• Strong experience with cloud data platforms, data warehouses, data lakes/lakehouses, data marts, APIs, integrations, and production support.
• Hands-on experience building ELT/ETL pipelines.
• Experience with Informatica or comparable enterprise data integration platforms.
• Strong SQL skills and experience with relational, NoSQL, columnar, and analytical databases.
• Experience with AWS, Azure, Google Cloud, or hybrid cloud environments.
• Knowledge of orchestration, transformation, data modeling, CI/CD, testing, observability, documentation, agile delivery, governance, metadata, lineage, data quality, and secure access.

Responsibilities

• Lead and develop a high-performing data engineering team.
• Own the data engineering roadmap, delivery planning, technical standards, and platform reliability.
• Partner with the CTO and technology leaders on data strategy, modernization, architecture, governance, and operating model.
• Deliver scalable ELT/ETL pipelines, data warehouses, data lakes, marts, semantic layers, curated datasets, and analytical data products.
• Establish standards for data modeling, orchestration, testing, documentation, code review, CI/CD, monitoring, and production support.
• Improve data quality, observability, lineage, alerting, incident response, and DataOps practices.
• Reduce technical debt, duplicated datasets, manual reporting, fragile integrations, and recurring production issues.
• Support AI, machine learning, advanced analytics, and self‑service analytics with trusted, governed, and secure data foundations.
• Promote a culture of ownership, accountability, collaboration, documentation, and continuous improvement.

Skills

Leadership

Data engineering

Cloud platforms

ELT/ETL pipelines

SQL

Data governance

CI/CD

Communication

Education

Bachelor's degree in Computer Science, Information Systems, Data Engineering, Engineering, Mathematics

Tools

Informatica

Spark

Airflow

Databricks

Snowflake

Power BI

Jira

Confluence

Job description

Staritas is seeking a Senior Manager, Data Engineering to lead its enterprise data engineering function, including data platform strategy, roadmap execution, modernization, production operations, data quality, governance, and team development.

This role is ideal for a hands‑on data leader who can scale modern data platforms, improve reliability, guide technical standards, and partner across Technology, Product, Analytics, Security, Operations, and business teams to deliver trusted, secure, and