Staff Data Architect
Salary not listed • Hyderabad, Telangana, India • Full-time
Posted 2mo ago
This job has been open for more than 60 days. It may no longer be actively hiring, so check with the company before putting a lot into an application.
About the job
We are seeking a Staff Data Architect to serve as a senior technical leader responsible for architecting the complete lifecycle of data moves, transforms, and value creation across all product lines. You will own the blueprint for our enterprise data lakehouse, setting the standards, governance, and strategy to elevate data from an operational byproduct to the company's most valuable asset. This role requires deep mathematical and logical modeling expertise combined with a builder's instinct, including coding, rapid prototyping, and proving out next-generation AI data architectures. Experience with US healthcare domain data is essential.
Responsibilities
- Set technical standards and reference architecture for a universal semantic layer across distinct data products, ensuring unified definitions of complex metrics and healthcare business entities.
- Define, scale, and govern the global Enterprise Ontology, including abstract domain maps, business entity classes, and entity-relationship rules, to serve as the backbone for Agentic AI systems.
- Leverage AI-native development environments to rapidly generate, iterate, and document blueprints for complex enterprise data schemas and metadata layers.
- Embed regulatory compliance (HIPAA, FHIR) and security principles into platform design, partnering with security and compliance teams.
- Translate business requirements into scalable technical solutions and communicate complex architectural concepts to both technical and non-technical stakeholders.
Requirements
- 12+ years of deep data engineering experience, with a proven trajectory in a Staff, Principal, or Architect capacity.
- High proficiency in Python, SQL, and modern AI tools, with the ability to write code and create rapid, validating Proofs of Concept (PoCs).
- Mastery over diverse data modeling languages and paradigms, including Relational, Dimensional, Data Vault 2.0, and Graph/Ontological modeling frameworks.
- Deep understanding of healthcare interoperability standards (FHIR, HL7) and proven experience architecting HIPAA-compliant data platforms.
- 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 abstract semantic concepts into business value narratives for C-suite stakeholders.
- Direct experience designing semantic graphs or metadata abstraction layers optimized for multi-agent AI workflows (nice-to-have).
- Familiarity with enterprise metric storage paradigms and middleware tools (e.g., dbt) (nice-to-have).
- Expertise in modern data lakehouse architectures leveraging open table formats like Apache Iceberg, Delta Lake (nice-to-have).
- Contributions to open-source projects or thought leadership in the data architecture community (nice-to-have).