Data Architect - Databricks

AuxoAI Inc.; Bengaluru; Hybrid; INR 4,000,000 - 7,000,000; Full time

Job summary

AuxoAI Engineering Pvt. Ltd. is recruiting a Data Architect to lead a strategic enterprise data modernization initiative for a cloud-based platform using Medallion architecture, AWS Databricks, and Snowflake.

You will define target-state architecture, establish governance frameworks, and implement CI/CD for data platforms. The role demands ownership of architecture standards, platform performance, and cross-functional alignment across engineering, analytics, and data science to ensure secure,

Qualifications

• 10+ years in Data & Analytics Architecture for enterprise data modernization.
• Experience with Medallion architecture and scalable data models.

Responsibilities

• Lead enterprise-scale implementation of data warehouse/data platform on Databricks and Snowflake.
• Design Medallion architecture and scalable enterprise data models.
• Establish data governance, cataloging, lineage, and compliance.
• Define CI/CD pipelines for data platforms deployments.
• Design AI/ML/Generative AI data pipelines with secure access patterns.
• Build ingestion frameworks for batch and streaming data.
• Ensure high-perf data integrations for analytics and BI.
• Collaborate with engineering, analytics, and data science teams for platform alignment.
• Engage clients to define data strategy, roadmap, and expansion opportunities.

Skills

Data architecture

Databricks

AWS

Snowflake

Data governance

Medallion architecture

CI/CD for data platforms

GenAI data pipelines

Batch/streaming data

Orchestration (Airflow MWAA)

Tools

Airflow

Delta Lake

Unity Catalog

Kinesis

Job description

AuxoAI Engineering Pvt. Ltd. | Full time

Data Architect - Databricks

Bangalore North, India | Posted on 08/18/2026

We are hiring a Data Architect to lead a strategic enterprise data modernization initiative for platform using Medallion architectureAWS Databricks. The role will define target-state architecture,establishenterprise data governance frameworks, implement CI/CD best practices for data platforms, and build GenAI-ready data foundations that enable advanced analytics, machine learning, and secure enterprise data access.

You will be responsible for architecting scalable cloud-native data ecosystems, designing governed data models, and enabling real-time and batch data processing capabilities. This role requires deep ownership of architecture standards, platform performance, and cross-functional alignment across engineering, analytics, and data science teams to ensure consistent, secure, and high-performance data consumption across enterprise use cases.

Location - Mumbai/ Bangalore /Hyderabad/Gurgaon (Hybrid - 3 Days a week in Office)

Responsibilities

• Lead enterprise-scaleimplementation ofdata warehousedataplatformson DatabricksandSnowflake environments.
• Design and implement Medallion (Bronze/Silver/Gold) architecture and scalable enterprise data models.
• Establish data modeling standards (dimensional, data vault, lakehouse patterns) and ensure best practices across projects
• Establish enterprise data governance frameworks including cataloging, lineage, stewardship, and compliance using Atlan.
• Define and implement CI/CD pipelines for infrastructure and data platform deployments
• Design data architectures that support AI/ML and Generative AI workloads including vector storage, feature layers, and secure access patterns.
• Build scalable ingestion frameworks supporting batch, streaming, and CDC pipelines.
• Architect secure, high-performance data integration layers for analytics, BI, and AI consumption.
• Develop target-state architecture blueprints and enforce data standards, governance, and best practices across teams.
• Collaborate with engineering, analytics, and data science teams to ensure platform alignment and scalability.
• Engage with clients as a trusted advisor, driving data strategy, roadmap definition, andidentifyingopportunities for expansion.

Requirements

• Minimum 10 years of experience in Data & Analytics Architecture with proven leadership in large-scale enterprise data modernization initiatives
• Strong understanding of batch, streaming, real-time, and near real-time data architectures
• Proven experience implementing enterprise Data Governance frameworks and tool
• Hands-on experience enabling AI/ML and Generative AI data pipelines.
• Deep expertise in data domains including Data Warehousing, Data Modeling (Dimensional, Data Vault), MDM, Data Quality, Metadata Management, and Data Catalog implementation
• Advanced Databricks experience including architecture design, optimization, and security; including hands-on experience with Delta Lake, Databricks SQL, Unity Catalog, Delta Live Tables, MLflow and integration with cloud services (AWS/Azure )
• Strong hands-on experience with AWS data ecosystem (S3, Glue, EMR, Lambda, Redshift, Lake Formation, Athena, DMS, etc.)
• Experience with real-time/streaming technologies (Kafka, Kinesis, or similar)
• Familiarity with orchestration tools such as Apache Airflow or MWAA
• Experience implementing CI/CD pipelines for data platforms
• AWS, Databricksand/or Snowflake certifications preferred

Note: Given the urgency of the role, we are currently prioritizing candidates who can join immediately or within 2 weeks.