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Carelon Global Solutions Philippines supports healthcare organizations by improving the practical, efficient delivery of operations and services. As an Elevance Health subsidiary formerly known as Legato Health Technologies, it develops digital tools and operational solutions for health plans, healthcare providers, and health systems. Its global workforce of more than 25,000 spans the United States, India, Ireland, the Philippines, and Puerto Rico. The company looks for innovative approaches that help healthcare professionals reduce administrative effort and focus more on patient care, while emphasizing mentorship and career development for its employees.
Associate Architect II – Data Platforms (Bengaluru, Onsite)
Lead enterprise data architecture across Databricks, Snowflake, and cloud platforms. Modernize healthcare data ecosystems through governance, security, interoperability, and AI/ML enablement.
Description
- Set the enterprise data platform architecture and roadmap
- Design scalable Lakehouse and Data Mesh solutions
- Create architecture standards, reusable patterns, and governance frameworks
- Lead platform modernization and migration initiatives
- Architect solutions across Databricks, Snowflake, Iceberg, and cloud services
- Design multi-cloud and hybrid-cloud data ecosystems
- Define data-sharing and interoperability approaches
- Enable AI/ML and GenAI workloads on modern data platforms
- Build metadata, catalog, lineage, and governance capabilities
- Design enterprise security and compliance frameworks
- Establish observability and FinOps practices for data platforms
- Reduce storage and compute costs through platform optimization
- Perform architecture reviews and technical assessments
- Create reference architectures and reusable solution frameworks
- Set non-functional requirements for scalability, resilience, security, and performance
- Partner with business, product, security, and engineering leaders
- Present architecture recommendations to executive stakeholders
- Lead multiple delivery teams across strategic programs
Requirements
- B.Tech, M.Tech, MCA in computer science, or equivalent experience
- At least 10 years of total professional experience
- At least 3 years of relevant Databricks experience
- Track record architecting enterprise Data Lakehouse and Data Platform solutions with Databricks and Snowflake
- Deep expertise in AWS, Azure, or GCP architecture, including security, governance, scalability, and resilience
- Extensive experience creating enterprise data strategies, modernization roadmaps, and migration plans
- Strong knowledge of Apache Iceberg, Delta Lake, metadata management, and Data Mesh architectures
- Experience designing multi-cloud and hybrid-cloud data ecosystems for analytics, AI/ML, and GenAI workloads
- Proven leadership in architecture standards, governance models, and reference architecture development
- Expertise in cost optimization, performance engineering, and cloud FinOps
- Experience influencing executives and leading architecture reviews across multiple programs
- Ability to mentor architects, technical leads, and engineering teams
- Excellent communication, presentation, and strategic decision-making skills
- Expert knowledge of Databricks Lakehouse Architecture, Delta Lake, Unity Catalog, Workflows, and performance optimization
- Strong proficiency in Python, PySpark, Spark SQL, and distributed data processing
- Extensive hands-on Snowflake experience, including Snowpipe, Streams, Tasks, Data Sharing, and query optimization
- Strong Apache Iceberg expertise, including open table formats, schema evolution, partitioning, and time travel
- Experience designing and implementing large-scale data engineering and ETL/ELT pipelines
- Hands-on experience with AWS, Azure, or GCP cloud-native data services
- Strong SQL and data modeling skills across OLTP and analytical environments
- Experience with real-time processing technologies such as Kafka, Event Hubs, Kinesis, or Pub/Sub
- Knowledge of data governance, metadata management, data quality, and security frameworks
- Terraform, CloudFormation, or other Infrastructure as Code experience is desirable
- Docker, Kubernetes, and containerized data platform knowledge is desirable
- Experience with GitHub Actions, Jenkins, Azure DevOps, GitLab, or similar CI/CD tools is desirable
- Exposure to AI/ML, MLOps, and GenAI data platform integration is desirable
- Knowledge of Data Mesh, Data Fabric, and modern enterprise data architectures is desirable
Benefits
- Strong opportunities for learning and professional development
- A culture that encourages innovation, creativity, and autonomy
- Support for holistic employee well-being
- Diversity, equity, and inclusion programs
- Multiple avenues for rewards and recognition
- Competitive health and medical insurance coverage
- High-quality amenities and workspaces
- Associate-centered workplace policies
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