Etl Solution Architect

PwC is helping multiple clients to setup and build data management store. The solution will be a combination of Reporting and analytical solution for Business Users across the Bank.

We are seeking an experienced Solution Data Architect and Lead to join our team working on a large-scale cloud/on-prem data transformation program. In this role, you will own solution data architecture end-to-end, lead cross-functional teams of analysts and engineers, and act as the primary client-facing representative for project delivery matters.

JOB TITLE: Solution Data Architect and Lead

JOB TYPE: Full Term Employment

LOCATION: Mumbai, Bengaluru

Skills:

1. Should have overall experience in the range of 10 to 14 years.

2. Vast hands-on experience in working with development to production code migration

3. Well versed with Medallion architecture principles and best practices for building layered, scalable data platforms.

4. Strong background in data modelling, including hands-on experience with Data Vault methodology.

5. Proven, hands-on experience designing and implementing a Data Management layer (Data Lake/Warehouse/Lakehouse) for a Financial Services client (preferred).

6. Ability to architect end-to-end ETL solutions aligned with business requirements, ensuring scalability, reliability, and performance.

7. Strong skills in data transformation.

8. Multiple ETL technologies (e.g., Informatica, DataStage, Talend, etc.).

9. Databases (e.g., Oracle, DB2, Netezza, SQL Server, etc.).

10. Reporting tools (e.g., Tableau, Qlik, Power BI, etc.).

11. Lakehouse platform implementations (e.g., Snowflake, Databricks, etc.).

Responsibilities

Architecture & Solution Design

1. Define cloud solution architecture for enterprise-scale data platforms, including Lakehouse architectures.

2. Design and implement Medallion (Bronze/Silver/Gold) layered architectures to structure data ingestion, curation, and consumption.

3. Prepare functional and technical solution designs aligned with business and technical requirements.

4. Drive solution decision-making and enforce architecture governance standards.

5. Support the implementation and optimization of cloud, Lakehouse, and/or on-premise data platforms

Delivery & Leadership

1. Lead end-to-end delivery of data solutions across multiple workstreams.

2. Lead project streams and coordinate delivery activities across teams.

3. Guide and manage teams of data analysts and data engineers.

4. Mentor and develop junior colleagues, supporting their technical growth.

Client & Stakeholder Management

1. Act as the primary liaison between the firm and client stakeholders.

2. Communicate architecture decisions, progress, and risks clearly to both technical and non-technical audiences.