Data Architect - AWS, Snowflake, Data Governance & GenAI

Location: Bengaluru

Company Description
AuxoAI is dedicated to achieving the mission of "AI Made Real" by enabling businesses to accelerate strategies through the seamless integration of Artificial Intelligence, Data, and Digital technologies. Inspired by Auxo, the Greek goddess of growth, our focus lies in leveraging AI to foster enterprise growth, optimize operations, and address technological and process-related challenges. AuxoAI empowers businesses to modernize their data and digital infrastructure while reimagining workflows.

Our cutting-edge platform, Damia - Enterprise AI Studio, drives efficiency and enhances outcomes by accelerating time to value with innovative AI-driven solutions.

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

Role Overview :
We are hiring a Data Architect to lead a strategic enterprise data modernization initiative focused on migrating legacy Oracle Exadata and ODI systems to an AWS-based data lake platform using Medallion architecture integrated with Snowflake, Dremio, and Power BI. The role will define target-state architecture, establish enterprise data governance frameworks using Atlan, 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.

Responsibilities
Lead enterprise-scale migration from legacy data warehouse platforms to AWS data lake and Snowflake environments.
Design and implement Medallion (Bronze/Silver/Gold) architecture and scalable enterprise data models.
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 using tools such as Argo CD.
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.

Qualifications
Minimum 12 years of experience in Data & Analytics Architecture with proven leadership in large-scale enterprise data modernization initiatives.
Experience leading migration of legacy data warehouse systems (Oracle Exadata/ODI preferred) to modern cloud platforms.
Strong understanding of batch, streaming, real-time, and near real-time data architectures.
Proven experience implementing enterprise Data Governance frameworks and tools.
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.
Strong technical expertise across AWS data platform services such as S3, Glue, IAM, Lake Formation, and related ecosystem tools.
Advanced Snowflake experience including architecture design, optimization, and security.
Hands-on experience with Atlan for governance and metadata management.
Experience implementing CI/CD pipelines for data platforms (Argo CD preferred).
AWS and/or Snowflake certifications preferred.