Staff Data Architect
Design and govern a healthcare-focused enterprise data lakehouse, building semantic layers, ontologies, and AI-native data architectures while ensuring HIPAA/FHIR compliance and scalable cloud-native pipelines.
- Compensation
- Not disclosed
- Location
- Hyderabad, Telangana, India
- Work setup
- Not specified
- Seniority
- Staff
- Employment
- Not specified
- Experience
- 12+ years
- Category
- Architecture
- Posted
Skills
Must have
- 12+ years of deep data engineering, with a proven trajectory of operating in a Staff, Principal, or Architect capacity.
- Must be highly proficient in Python, SQL, and modern AI tools with a strong desire and ability to write code and spin up rapid, validating PoCs.
- Mastery over diverse data modeling languages and paradigms- including Relational, Dimensional, Data Vault 2.0, and Graph/Ontological modeling frameworks.
- Healthcare standards and compliance expertise: Deep understanding of healthcare interoperability standards (FHIR, HL7) and proven experience architecting HIPAA-compliant data platforms in production e
- Deep expertise in modern data platforms and cloud-native architectures, with strong command of AWS data services (S3, Glue, Athena, Redshift, Lake Formation)
- Understanding of data pipeline orchestration, transformation frameworks (dbt, Airflow), and modern data stack components
- Outstanding executive presence and communication skills, with a track record of translating highly abstract semantic concepts (ontologies, knowledge graphs) into compelling business value narratives f
Nice to have
- Direct experience designing semantic graphs or metadata abstraction layers specifically designed to optimize multi-agent AI workflows.
- Familiarity with enterprise metric storage paradigms and middleware tools (e.g., dbt)
- Expertise in modern data lakehouse architectures leveraging open table formats such as Apache Iceberg, Delta Lake.
- Contributions to open-source projects or thought leadership in the data architecture community
Full description
Opportunity Overview
We're hiring a Data Architect who will serve as a senior technical leader responsible for architecting the complete lifecycle data moves, transforms, and creates value across every product line we operate. You'll own the blueprint for our enterprise data lakehouse - setting the standards, governance, and strategy that elevate data from a byproduct of operations to the company's most valuable asset. We need someone who pairs deep mathematical and logical modeling expertise with a builder's instinct - someone who codes, prototypes fast, and proves out next-generation AI data architectures before committing the organization to them. This role would need experience with US healthcare domain data.
What You'll DoSemantic Layer Governance: Set the technical standard and reference architecture for a universal semantic layer across multiple distinct data products, ensuring unified definitions of complex metrics and healthcare business entities across
Architect the Enterprise Context Layer: Define, scale, and govern the global Enterprise Ontology (abstract domain maps, business entity classes, and entity-relationship rules) that serves as the backbone for Agentic AI systems.
AI-Native Prototyping: Leverage modern AI-native development environments (such as Cursor, GitHub Copilot) to rapidly generate, iterate, and document blueprints for complex enterprise data schemas and metadata layers.
Security & Compliance Leadership: Embed regulatory compliance (HIPAA, FHIR) and security principles into platform design. Partner with security and compliance teams to ensure architectural decisions support audit readiness and risk mitigation.
Cross-Functional Collaboration: Partner with executive leadership, product management, and engineering to translate business requirements into scalable technical solutions. Communicate complex architectural concepts to both technical and non-technical stakeholders.
ISMS roles and responsibilities
- Good knowledge of Information practices.
- Assist the manager in all the information security activities implementation and maintenance process.
- Ensuring the team and imparted with Competence related to Information security
- Responsible for implementation of security policies and procedures and report any issues to the Information Security Manager.
Required Qualifications:Must-Haves
- 12+ years of deep data engineering, with a proven trajectory of operating in a Staff, Principal, or Architect capacity.
- Must be highly proficient in Python, SQL, and modern AI tools with a strong desire and ability to write code and spin up rapid, validating PoCs.