Note: The job is a remote job and is open to candidates in USA. Navitus Health Solutions is represented by Archimedes, a leader in specialty drug management solutions. The Manager, Data Engineering is responsible for leading the design, implementation, and modernization of the organization's enterprise data platform and data integration ecosystem.
Responsibilities
- Lead and support the organizational data integration efforts by effectively developing and leading a team of data integration developers, engineers, architects, and managers
- Establish enterprise data architecture standards, canonical data models, data domains, and data product strategies
- Lead the modernization of legacy SQL Server ETL workloads into Azure Databricks and Lakehouse architectures
- Define and govern Bronze, Silver, and Gold data layer standards
- Establish enterprise data dictionaries, business glossaries, metadata management, and lineage standards
- Lead development of AI-ready data products supporting machine learning, predictive analytics, intelligent automation, RAG, and agentic AI solutions
- Define enterprise DataOps practices including CI/CD, automated testing, observability, data quality, and deployment automation
- Lead the design and implementation of data integration and data lake house solutions
- Lead collaboration efforts with IT teams to ensure robust and scalable data architecture is established and meeting company objectives
- Lead the establishment of data validation and reconciliation processes to maintain data accuracy
- Partner with business stakeholders to understand data requirements and deliver solutions that meet their needs
- Assess the current data services processes, identify challenges, quantify the business value, establish procedures to address challenges, and support the future state model and vision definition
- Stay current with industry trends and advancements in data integration and management technologies
- Lead healthcare data integration initiatives involving claims, eligibility, pharmacy, clinical, financial, operational, and partner data sources
- Serve as technical authority for data modeling, canonicalization, master data management, and enterprise data governance practices
- Provide direct leadership, coaching, hiring, and performance management for Data Engineers and Data Integration Engineers
- Participate in architecture reviews and remain actively engaged in solution design, platform modernization, and technical delivery
- Develop training plans to foster growth and development across functional areas to meet expanding technology needs. Research and develop learning needs for ongoing system developments with contractors
- Continuously review and monitor technology resources and gap analysis, establish criteria and make recommendations for advancement
- Develop and implement a comprehensive data management strategy aligned with strategic objectives. Establish resources, tools and direction for each functional leader
- Establish data integration policies and procedures to ensure data accuracy, security, and compliance with regulatory requirements
- Participate in, adhere to, and support compliance, people and culture, and learning programs
- Perform other duties as assigned
Skills
- Bachelor's degree in the field of computer science, information systems, or data science, or equivalent work experience, required
- 10+ years of experience in Data Engineering, Data Architecture, Analytics Engineering, Data Integration, or Data Platform Engineering required
- 5+ years leading Data Engineering teams required
- Experience designing and implementing Databricks Lakehouse architecture required
- Experience establishing canonical data models, enterprise data products, metadata management, and governance frameworks required
- Experience supporting AI, machine learning, analytics, and automation initiatives through modern data engineering practices required
- Experience modernizing legacy ETL and SQL-based architectures into cloud-native platforms required
- Advanced experience and skills in data ingestion, data architecture, and data integration techniques required
- Proficiency in data integration tools and languages (e.g., SQL, Linux, Python, ETL tool) required
- Experience with healthcare data domains strongly preferred
Benefits
- Top of the industry benefits for Health, Dental, and Vision insurance
- 20 days paid time off
- 4 weeks paid parental leave
- 9 paid holidays
- 401K company match of up to 5% - No vesting requirement
- Adoption Assistance Program
- Flexible Spending Account
- Educational Assistance Plan and Professional Membership assistance
- Referral Bonus Program – up to $750!
Company Overview