Senior Data Architect

Position: Senior Data Architect

Experience: 14+ years

Location: Bangalore/ Noida

Education: B.E./ B.Tech./ MCA

Primary Skills: MDM, Data Architecture, Data Modelling, Data Catalogue, Data Governance, Data Quality, DWH

Role Overview:

xperienced Data Architect to design and develop comprehensive enterprise data architecture that enables scalability, governance, and innovation. The role requires deep expertise in modern data platforms such as Snowflake, along with strong Data Management and Governance practices. The Data Architect will be responsible for aligning business goals with technology, ensuring data quality, and enabling advanced analytics and AI/ML use cases across the enterprise.

Key Responsibilities:

• Design, develop, and implement enterprise-wide data architecture, models, and integration frameworks
• Establish and enforce data governance standards, policies, and best practices
• Act as an advisor to Data Architects, Data Governance Officers, Data Product Owners and Managers
• Design and optimize data platforms using Snowflake (preferable) and/or Databricks
• Oversee and guide complex data transformation for large and diverse datasets, ensuring Data integrity, quality, and performance
• Drive the creation and maintenance of advanced data models, to support both analytical and operational needs
• Implement MDM, Lineage tracking, and Data cataloguing
• Guarantee consistency between technical design and trust framework (quality, compliance, security)
• Collaborate with business stakeholders to align data strategy with organizational objectives, document use cases, and design processes, ensuring alignment with technical implementation
• Collaborate with Data Governance teams to ensure alignment between architecture and governance policies
• Contribute to the organization's strategic Data & AI roadmap

Candidate Profile:

• Strong expertise in designing and architecting Data Lakes, Enterprise Data Warehouses, and Lakehouse solutions.
• Adept at engaging with stakeholders, translating business needs into technical solutions, and influencing senior leadership
• Strong expertise in Snowflake (preferable) and Databricks
• In-depth knowledge of Data Governance, Data Quality, and MDM frameworks
• Good understanding in Data catalogue (e.g. Atlan, Collibra), Data quality (e.g. Sifflet) and MDM (e.g. Semarchy) solutions
• Experience with real-time and streaming architectures (Kafka, Spark, streaming frameworks)
• Demonstrated ability to deliver enterprise-scale solutions on time and within budget
• Strong ability to articulate complex technical concepts to both technical and non-technical audiences, along with excellent documentation skills