Job Description

Data Architect - Data Transformation

Role Purpose -

Lead strategic client engagements, shape large-scale data transformation opportunities, and drive end-to-end solution architecture across data, AI, analytics, governance, and cloud platforms. Act as a trusted advisor to CDO/CDAO organizations and own the technical solutioning for consulting and transformation pursuits.

Key Responsibilities

Lead client workshops with CDO, CIO, CTO, and Business stakeholders to define enterprise data strategy, target architecture, and transformation roadmaps.
Own pre-sales solutioning, including opportunity qualification, discovery assessments, architecture visioning, proposal development, and executive presentations.
Design enterprise-scale data platforms covering data lakes, lakehouses, warehouses, data mesh, metadata management, lineage, governance, MDM, and data quality frameworks.
Define Data-by-Design controls across the software development lifecycle, ensuring alignment with governance, risk, privacy, and regulatory requirements.
Shape AI and GenAI-enabled data architectures, including vector databases, knowledge management, semantic layers, RAG architectures, and AI governance frameworks.
Develop business cases, value realization models, operating models, and transformation roadmaps for executive stakeholders.
Collaborate with sales, consulting, engineering, and partner ecosystems (Microsoft, AWS, Google Cloud, Databricks, Snowflake, Informatica, Collibra, etc.) to build winning solutions.
Lead architecture governance and provide strategic guidance throughout the engagement lifecycle from pursuit to delivery.

Must-Have Experience

10+ years of experience in Data Architecture, Data Engineering, Analytics, or Digital Transformation.
Strong experience engaging with CDO/CDAO organizations within Banking and Financial Services.
Proven track record in winning and delivering large-scale data transformation programs.
Hands-on expertise in cloud-native data platforms, data modeling, integration, governance, metadata, lineage, and analytics architectures.
Experience with modern data technologies such as Databricks, Snowflake, Azure Data Platform, AWS Data Services, Fabric, Informatica, Collibra, Alation, or equivalent.
Strong understanding of regulatory, risk, compliance, and data governance requirements within financial institutions.
Demonstrated ability to lead executive-level workshops, create proposals, manage RFPs/RFIs, and support sales pursuits.

Enterprise Data Architecture Design

Define and implement scalable data architecture, data models, and standards aligned with business and technology strategies.

Data Modernization & Transformation

Lead cloud migration, data platform modernization, data lakehouse, warehouse, and real-time data architecture initiatives.

Business & Stakeholder Consulting

Engage with business leaders to translate business requirements into data solutions, roadmaps, and architecture blueprints.

Data Governance & Quality

Establish data governance frameworks, metadata management, lineage, security, privacy, and data quality controls to ensure regulatory compliance.

Technology Leadership & Solution Advisory

Recommend and evaluate technologies, provide architecture governance, mentor teams, and drive best practices across data engineering, analytics, AI, and reporting ecosystems.

Key Skills