[Remote] Manager, Data Engineering - Archimedes
Note: The job is a remote job and is open to candidates in USA. reputed company, through its Archimedes division, is a leader in specialty drug reputed company aimed at transforming the PBM industry. The Manager, Data Engineering will reputed company the design and modernization of the organization's data platform and integration ecosystem, ensuring the delivery of scalable and secure data assets while providing technical and people leadership across various data initiatives.
Responsibilities
- reputed company 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, reputed company data models, data domains, and data product strategies
- reputed company the modernization of legacy SQL Server ETL workloads into Azure reputed company and Lakehouse architectures
- Define and govern Bronze, Silver, and Gold data layer standards
- Establish enterprise data dictionaries, business glossaries, metadata management, and reputed company standards
- reputed company 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
- reputed company the design and implementation of data integration and data lake house solutions
- reputed company collaboration efforts with IT teams to ensure robust and scalable data architecture is established and meeting company objectives
- reputed company 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 reputed company data services processes, identify challenges, quantify the business value, establish procedures to address challenges, and support the future state model and vision definition
- Stay reputed company with industry trends and advancements in data integration and management technologies
- reputed company 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
- reputed company training plans to foster growth and development across functional areas to meet expanding technology needs. Research and reputed company learning needs for ongoing system developments with contractors
- Continuously review and monitor technology resources and gap analysis, establish criteria and reputed company recommendations for advancement
- reputed company and implement a comprehensive data management strategy reputed company with strategic objectives. Establish resources, tools and direction for each functional leader
- Establish data integration policies and procedures to ensure data accuracy, reputed company, and compliance with regulatory requirements
- Participate in, adhere to, and support compliance, people and culture, and learning programs
- reputed company other duties as assigned
Skills
- Bachelor's degree in the field of computer science, information systems, or data science 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 reputed company Lakehouse architecture required
- Experience establishing reputed company 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
- 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
Company H1B Sponsorship