Data Analytics Solution Architect

Overview

Design and deliver data analytics solutions as a Data Analytics Solution Architect, leading end-to-end data architecture across ERP and non-ERP systems.

What you'll do

• Lead end-to-end solution architecture across a diverse ecosystem including Snowflake, dbt, SAP S/4HANA/ECC and Datasphere, MS Dynamics 365, BPCS, Salesforce, Workday, Concur, Oracle, JDE, MES, and external data sources.
• Design integrated data models supporting business domains such as Commercial Operations, Supply Chain, Finance, and others.
• Transform complex ERP transactional and master data into optimized, analytics-ready structures within Snowflake and other downstream platforms.
• Define and standardize key business metrics and KPIs across IT, finance, sales, supply chain, customer operations, and manufacturing.
• Design and oversee implementation of data pipelines and ELT frameworks using AWS, S3, Lambda, Step Functions, SAP Datasphere, HVR, Fivetran, and Informatica.
• Lead integration of ERP (SAP, MS D365, BPCS, Oracle, JDE) and non-ERP (Salesforce, Workday, Concur, MES, external sources) data with Snowflake or other cloud data lakes, following best practices for data quality, scalability, and performance.
• Collaborate with data engineers to ensure robust, well-documented Source-to-Target Mappings (STTMs).
• Deliver data models supporting regulatory, financial, and management reporting.
• Provide technical oversight for data access strategies (ODP, CDS Views, APIs) to ensure operational efficiency and performance.
• Lead troubleshooting of data issues in production environments and collaborate with support teams to resolve root causes.
• Contribute to data governance by embedding data lineage, stewardship, and metadata in architectural designs.
• Partner with security and compliance teams to ensure data designs and usage adhere to GDPR/SOX standards.
• Serve as primary data advisor to business and IT stakeholders, aligning data capabilities with business goals.
• Facilitate and lead architecture sessions with functional consultants, product owners, and analysts to validate designs and drive solution adoption.

What you'll need

• Bachelor's Degree or higher AND 8 years of data analytics experience.
• 8–12 years in Solution Architecture or related roles, with at least 5 years of SAP-specific data modeling experience and 3 years of experience as Data Architect.
• Demonstrated experience leading and mentoring a team of data engineers or similar technical roles.
• Strong knowledge of ERPs such as SAP S/4HANA/ECC and Datasphere, from a solution integration perspective.
• Hands-on experience with Snowflake, data modeling, SQL, Data Vault or Star Schema modeling, applied in a solution design context.
• Familiarity with integration tools such as HVR, Fivetran, or Informatica, understanding their application in end-to-end solutions.
• Deep understanding of key business metrics in IT, finance, sales, logistics, and manufacturing, and how they translate into data solutions.
• Ability to translate business requirements into robust, scalable technical solutions.
• Strong communication and stakeholder management skills, with the ability to influence and build consensus across diverse teams.
• Collaborative, agile mindset with ability to operate in cross-functional teams and demonstrate leadership within them.

Nice to have

• Experience working in Agile/Scrum environments.
• 1 year of experience with Salesforce, Workday, Concur, or any other enterprise application, specifically concerning data integration and solutioning.
• 2 years with ML/AI, advanced analytics, or data science software, understanding how these can be integrated into broader data solutions.
• Skills in data engineering principles, data governance frameworks, effective oral and written communication with senior leadership and front-line developers, strategic thinking, technical leadership, and prior experience building high-performing engineering teams focused on data solutions.

Details

• Work location: Bangalore, Hybrid.