Note: The job is a remote job and is open to candidates in USA. Accion Labs is recruiting for a direct client, an American global healthcare and medical device company, seeking an Enterprise Data Architect/Data Engineering Manager. The role supports in-flight initiatives by partnering with delivery and business teams, building Databricks foundations, and leading enterprise data architecture, solution design, governance, and data product initiatives.
Responsibilities
- The role will be supporting the in-flight initiatives, working with delivery and business partners as well as technical skills for building databricks foundations
Skills
- 10+ years of progressive experience in Data & Analytics leadership roles with strong foundations across Data Engineering, Data Architecture, Analytics, Data Management, and Data Governance
- Demonstrated hands-on experience delivering enterprise-scale data and analytics solutions prior to moving into leadership roles
- Proven experience partnering with senior business leaders and translating strategic priorities into scalable, technology-enabled solutions
- Expertise in operating across business functions, Functional BRMs, Data & Analytics, Architecture, Engineering, and IT organizations within complex matrixed environments
- Deep understanding of modern data architectures, cloud-based analytics ecosystems, enterprise data platforms, and product-oriented delivery models, including experience with technologies such as Databricks, Snowflake, Amazon Redshift, and related cloud data platforms
- Strong experience with AWS cloud services and architectures supporting enterprise Data & Analytics platforms
- Hands-on experience with Databricks, including Lakehouse architecture principles, Delta Lake, Unity Catalog, and modern data governance practices
- Experience with enterprise analytics and business intelligence platforms, including Power BI, Tableau, Qlik Sense, or similar technologies, supporting self-service analytics, reporting, and data-driven decision making
- Experience establishing and scaling Data Products, Data Product operating models, Data Mesh principles, domain-oriented ownership, and business-led data governance practices
- Experience leading conceptual solution design and influencing architecture, platform, and technology decisions in partnership with Architecture and Engineering teams
- Exceptional communication, facilitation, stakeholder management, and executive presentation skills, with the ability to influence senior business executives, IT leadership, and cross-functional stakeholders
- Proven ability to lead through influence, drive alignment, and make decisions across complex global matrix organizations
- Strong strategic thinking, business acumen, and problem-solving capabilities with the ability to balance business priorities, technical considerations, and long-term platform sustainability
- Bachelor's degree in information technology, Information Systems, Computer Science, Engineering, Data Analytics, Business, or a related field
- Cannot sponsor
- Experience in the healthcare industry, including regulated environments involving patient, clinical, or healthcare data
- Familiarity with modern GenAI and LLM frameworks, including experience with evaluating or implementing AI, Generative AI, and LLM-based solutions within enterprise environments
- Exposure to applied AI/ML initiatives, including model governance, MLOps concepts, or responsible AI practices
- Experience with Customer Data Platform (CDP) technologies
- Master's degree preferred
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