Carelon Global Solutions Philippines
Carelon Global Solutions Philippines
Carelon Global Solutions Philippines स्वास्थ्य संगठनों को संचालन और सेवाओं की व्यावहारिक तथा कुशल डिलीवरी बेहतर बनाने में सहायता करती है। Elevance Health की सहायक कंपनी के रूप में, जिसे पहले Legato Health Technologies के नाम से जाना जाता था, यह स्वास्थ्य योजनाओं, स्वास्थ्य सेवा प्रदाताओं और स्वास्थ्य प्रणालियों के लिए डिजिटल उपकरण तथा संचालन संबंधी समाधान विकसित करती है। इसका 25,000 से अधिक लोगों का वैश्विक कार्यबल संयुक्त राज्य अमेरिका, भारत, आयरलैंड, फिलीपींस और प्यूर्टो रिको में कार्यरत है। कंपनी ऐसे नवोन्मेषी तरीकों की तलाश करती है जो स्वास्थ्य सेवा पेशेवरों के प्रशासनिक कार्यभार को कम करने और रोगी देखभाल पर अधिक ध्यान केंद्रित करने में मदद करें, साथ ही अपने कर्मचारियों के मार्गदर्शन और करियर विकास पर भी जोर देती है।

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.

विवरण

  • 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

आवश्यकताएँ

  • 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

लाभ

  • 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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