Staritas · 1 month ago
Senior Manager, Data Engineering
Staritas is seeking a Senior Manager of Data Engineering to lead its enterprise data engineering function, including data platform strategy, roadmap execution, and team development. The role involves delivering scalable data solutions and improving data quality while partnering with various teams to ensure trusted and secure data capabilities.
Hospital & Health Care
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
Qualification
Required
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
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
Benefits
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
Medical, dental, and vision coverage
Retirement savings plans with company contributions
Paid time off and company holidays
Paid parental and family leave
Access to employee assistance and wellness resources
Life and disability insurance
Professional development opportunities
Flexible work arrangements
Company
Staritas
Staritah assists healthcare supply chain leaders worldwide in making more educated decisions.