Senior Manager, Data Engineering at Staritas

Job description

About the Role 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 business-ready data capabilities. Key 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. Required Qualifications • Bachelor’s degree in Computer Science, Information Systems, Data Engineering, Engineering, Mathematics, or related field; equivalent experience considered. • 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. Preferred Qualifications • Experience with Informatica IDMC, PowerCenter, Data Quality, or Cloud Data Integration. • Familiarity with tools such as Spark, PySpark, Airflow, dbt, Databricks, Snowflake, BigQuery, Redshift, Azure Data Factory, AWS Glue, Power BI, GitHub, GitLab, Jira, or Confluence. • Experience modernizing legacy ETL, fragmented data ecosystems, and manual reporting processes. • Experience supporting AI, machine learning, predictive analytics, or advanced analytics use cases. • Experience in regulated, compliance-oriented, SaaS, ERP, CRM, healthcare, financial, or analytics environments. Success Measures • Reliable delivery of the data engineering roadmap. • Improved platform reliability, performance, security, observability, and production support. • Reduced data quality issues, manual work, duplicated datasets, and recurring defects. • Clear and adopted data definitions, lineage, documentation, governance, and access patterns. • Trusted data foundations that support analytics, reporting, operations, product intelligence, and AI. • An engaged, accountable, and growing data engineering team . What We Offer • Competitive salary and performance bonus program • Fully remote work environment • Comprehensive benefits package including 401k match • 19 days of PTO per year; 10 holidays per year • Opportunity to work in a mission-driven organization where your work directly shapes clarity, confidence, and better outcomes across healthcare Travel Up to 10% travel, based on business needs.  While our roles are 100% remote, we do get together a few times a year for up to one week.  Employees are given ample  notice  and attendance is expected.     Work Environment This position operates in a professional work environment and requires the use of standard office equipment such as a computer, keyboard, mouse, webcam, and phone. Equal Opportunity / Affirmative Action Statement Staritas is committed to providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetic information, sexual orientation, gender identity, or veteran status. As a federal contractor, Staritas complies with all applicable federal, state, and local laws regarding nondiscrimination and affirmative action. We are committed to creating a workplace that is fair, inclusive, and grounded in merit-based decision-making. Accommodation Statement If you need reasonable accommodation to apply for this position, please contact the recruiter.   Pay Transparency Statement Staritas posts compensation ranges and benefits for all open roles. The compensation range for this position is $150,000 - $175,000, plus a comprehensive benefits package. Compensation offered will depend on factors including experience, skills, geographic location, and internal equity. Staritas does not retaliate against employees or applicants for discussing compensation. Benefits Statement Staritas offers a comprehensive and competitive benefits package designed to support the health, wellbeing, and financial security of our employees. Benefits include medical, dental, and vision coverage; retirement savings plans with company contributions; paid time off and company holidays; paid parental and family leave; and access to employee assistance and wellness resources. Additional benefits include life and disability insurance, professional development opportunities, and flexible work arrangements. Learn more about us by visiting www.staritas.com .

Requirements

Must-haves

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.
Bachelor’s degree in Computer Science, Information Systems, Data Engineering, Engineering, Mathematics, or related field; equivalent experience considered.
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.

Nice-to-haves

Experience with Informatica IDMC, PowerCenter, Data Quality, or Cloud Data Integration.
Familiarity with tools such as Spark, PySpark, Airflow, dbt, Databricks, Snowflake, BigQuery, Redshift, Azure Data Factory, AWS Glue, Power BI, GitHub, GitLab, Jira, or Confluence.
Experience modernizing legacy ETL, fragmented data ecosystems, and manual reporting processes.
Experience supporting AI, machine learning, predictive analytics, or advanced analytics use cases.
Experience in regulated, compliance-oriented, SaaS, ERP, CRM, healthcare, financial, or analytics environments.
Success Measures
Reliable delivery of the data engineering roadmap.
Improved platform reliability, performance, security, observability, and production support.
Reduced data quality issues, manual work, duplicated datasets, and recurring defects.
Clear and adopted data definitions, lineage, documentation, governance, and access patterns.
Trusted data foundations that support analytics, reporting, operations, product intelligence, and AI.
An engaged, accountable, and growing data engineering team .

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

ci/cdaimachine learningsqlawsazureagilejira

Platform: adp-workforce-now
Effort: medium

Benefits

Benefits detected in the listing.

Dental

Vision

401k

Pto

Paid Time Off

Wellness

Professional Development