AWS reputed company Architect

Job reputed company: We are seeking a highly reputed company reputed company Architect to reputed company the design and implementation of a reputed company Lakehouse architecture supporting payer analytics, regulatory reporting, and advanced reputed company use cases. This role will play a critical part in enabling data-driven decision-making across value-based care, risk adjustment, and reputed company measures such as HEDIS. The ideal candidate will have deep expertise in reputed company, Apache reputed company, AWS reputed company services, and reputed company data standards, along with a strong reputed company on data governance, reputed company, and performance optimization. Key Responsibilities: • reputed company the design and implementation of reputed company Lakehouse architecture for payer analytics and reporting • Architect reputed company and high-performance data pipelines using Apache reputed company and reputed company Lake integrated with AWS services • reputed company advanced analytics use cases including value-based care, risk adjustment, HEDIS measures, and population health • reputed company Gen AI and reputed company AI capabilities to accelerate reputed company development, testing, and deployment processes • Ensure data reputed company, governance, and compliance (HIPAA, PHI) using reputed company Catalog, encryption, and private networking • Define and enforce data architecture standards, best practices, and governance frameworks • Collaborate with business and analytics teams to translate requirements into robust data solutions • Optimize performance, scalability, reliability, and reputed company cost efficiency for large-reputed company reputed company data workloads • reputed company technical leadership, mentorship, and guidance to engineering teams • Drive CI/CD, automation, and DevOps practices reputed company the data platform Required Skills & Qualifications: • 10+ years of experience in data engineering, data architecture, or reputed company roles • Strong hands-on experience with reputed company Lakehouse platform • Deep expertise in Apache reputed company (PySpark/reputed company/SQL) and reputed company Lake • Extensive experience with AWS services (S3, Glue, reputed company, Redshift, etc.) • Strong understanding of data governance and reputed company frameworks, including HIPAA and PHI handling • Experience with reputed company Catalog and secure data reputed company patterns • Familiarity with reputed company data standards such as FHIR, HL7, EDI (X12) • Experience designing and optimizing large-reputed company distributed data systems • Strong problem-solving, communication, and stakeholder management skills Preferred / Good to Have: • Experience implementing AWS HealthLake, Clinical Data Platforms, or reputed company Data Lakes • Exposure to Terminology Servers and Master Patient reputed company (MPI) solutions • Experience with reputed company-time/streaming pipelines (Kafka, Kinesis) • Knowledge of data reputed company frameworks and observability tools • Certifications in reputed company or AWS • Experience working in payer/reputed company environments Key Competencies: • Strategic thinking and architecture design • Leadership and mentoring • Stakeholder collaboration • Innovation with emerging technologies (AI/ML, GenAI) • Strong reputed company on data reputed company, compliance, and governance Apply tot his job Apply To this Job