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Associate Architect II (IND)

Carelon Global Solutions
NewPosted today

LOCATION

Bengaluru · Onsite

EXPERIENCE

10+ Years

TYPE

FullTime

SALARY

Negotiable

SKILLS REQUIRED

ObservabilityData GovernanceSystem DesignData PipelinesData LineageCloud Architecture

Job description

Overview

Define and drive enterprise-scale data architecture using Databricks Lakehouse, Snowflake, Apache Iceberg, and modern cloud-native technologies. Lead architecture decisions, platform strategy, governance frameworks, and modernization initiatives as an individual contributor.

What you'll do

  • Define enterprise data platform architecture and roadmap.
  • Design scalable Lakehouse and Data Mesh architectures.
  • Establish standards, patterns, and governance frameworks.
  • Lead modernization and migration strategies.
  • Architect solutions using Databricks, Snowflake, Iceberg, and cloud services.
  • Design multi-cloud and hybrid-cloud data ecosystems.
  • Define data sharing and interoperability strategies.
  • Enable AI/ML and GenAI workloads on modern data platforms.
  • Develop metadata, catalog, lineage, and governance solutions.
  • Design enterprise-scale security and compliance frameworks.
  • Establish platform observability and FinOps practices.
  • Optimize storage and compute costs.
  • Conduct architecture reviews and technical assessments.
  • Define reference architectures and reusable frameworks.
  • Drive NFRs including scalability, resiliency, security, and performance.
  • Collaborate with business, product, security, and engineering leaders.
  • Present architecture recommendations to executive stakeholders.
  • Lead multiple delivery teams across strategic programs.
  • Mentor architects, leads, and engineering teams.

What you'll need

  • B.Tech degree, MTech, or MCA with a computer science background, or equivalent experience.
  • 10+ years of total experience.
  • Minimum 3 years of relevant experience in Databricks.
  • Proven experience architecting enterprise-scale Data Lakehouse and Data Platform solutions using Databricks and Snowflake.
  • Deep expertise in Cloud Architecture across AWS, Azure, or GCP, including security, governance, scalability, and resiliency frameworks.
  • Extensive experience defining enterprise data strategies, modernization roadmaps, and migration approaches.
  • Strong knowledge of Apache Iceberg, Delta Lake, metadata management, and Data Mesh architectures.
  • Experience designing multi-cloud and hybrid-cloud data ecosystems supporting analytics, AI/ML, and GenAI workloads.
  • Proven leadership in defining architecture standards, governance models, and reference architectures.
  • Expertise in cost optimization, performance engineering, and cloud FinOps implementation.
  • Experience influencing executive stakeholders and leading architecture reviews across multiple programs.
  • Excellent communication, presentation, and strategic decision-making skills.
  • Expert knowledge of Databricks, including Lakehouse Architecture, Delta Lake, Unity Catalog, Workflows, and Performance Optimization.
  • Strong proficiency in Python, PySpark, Spark SQL, and distributed data processing.
  • Extensive hands-on experience with Snowflake, including Snowpipe, Streams, Tasks, Data Sharing, and Query Optimization.
  • Strong expertise in Apache Iceberg, open table formats, schema evolution, partitioning, and time-travel capabilities.
  • 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 Data Processing using Kafka, Event Hubs, Kinesis, or Pub/Sub.
  • Knowledge of Data Governance, Metadata Management, Data Quality, and Security frameworks.

Nice to have

  • Experience with Terraform, CloudFormation, or Infrastructure as Code (IaC).
  • Knowledge of Docker, Kubernetes, and containerized data platforms.
  • Experience with CI/CD tools such as GitHub Actions, Jenkins, Azure DevOps, or GitLab.
  • Exposure to AI/ML, MLOps, and GenAI data platform integration.
  • Knowledge of Data Mesh, Data Fabric, and modern enterprise data architectures.

Details

  • Employment type: Full-time employee.
  • Location: Bangalore (BGM/GGN); ATS location: Bengaluru, Karnataka, India.
  • Business platform: EDA Platform.
  • Individual contributor role, not a people manager.

Read the full description and apply on the company’s own careers page.

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Associate Architect II (IND)