Description

You will drive cloud data solution architecture, evaluate build-vs-buy decisions, and create early-phase estimates for business cases. You partner with business and technology stakeholders to shape Data & Analytics strategy, ensuring solutions align with architecture standards and financial targets. You lead transformation efforts for large opportunities by defining multi-year roadmaps and engaging clients at the executive level.

This role is on-site.

Responsibilities

• Design and evaluate large-scale enterprise data architectures using Azure, AWS, or GCP.
• Develop data strategy, roadmaps, and solution approaches for presales and client engagements.
• Implement data governance, MDM, and quality frameworks across hybrid and cloud environments.
• Lead architecture reviews and oversee data management, warehousing, and integration initiatives.
• Define data modeling standards including Data Mesh, Data Vault, and dimensional modeling.

Required Skills

• 10+ years of experience in Cloud Data Architecture and Solution Design.
• Hands-on expertise with Snowflake, Databricks (Delta Lake, Unity Catalog), and Cortex AI.
• Proficiency in data transformation and orchestration tools like dbt and FiveTran.
• Strong foundation in Data Modeling, MDM, and Data Governance principles.
• Experience with data warehousing concepts, normalization, and various data models.
• Proven track record engaging technical and non-technical stakeholders, including CXOs.
• Ability to drive large-scale transformation strategies and multi-year roadmaps.
• Strong articulation skills with exposure to Banking, Financial, and Insurance sectors.

Preferred Skills

• Demonstrated experience in presales support, shaping multi-million dollar deals.
• Background in platform engineering and developer experience optimization.

Key Skills

Education

Any Graduate