About Exponentia.ai
Exponentia.ai is a fast-growing AI-first technology services company, partnering with enterprises to shape and accelerate their journey to AI maturity. With a presence across the
US, UK, UAE, India, and Singapore, we bring together deep domain knowledge, cloud-scale engineering, and cutting-edge artificial intelligence to help our clients transform into agile, insight-driven organizations.
We are proud partners with global technology leaders such as
Databricks, Microsoft, AWS, and Qlik, and have been consistently recognized for innovation, delivery excellence, and trusted advisories.
Awards & Recognitions
- Innovation Partner of the Year Databricks, 2024
- Digital Impact Award, UK 2024 (TMT Sector)
- Rising Star APJ Databricks Partner Awards 2023
- Qlik's Most Enabled Partner APAC
With a team of
450+ AI engineers, data scientists, and consultants, we are on a mission to redefine how work is done, by combining human intelligence with AI agents to deliver exponential outcomes.
Learn more: www.exponentia.ai
About the Role: Data Solution Architect
We are looking for a
Data Modeller & Solution Architect with strong expertise in designing scalable, high-performance data architectures and hands-on experience in data modelling, analytics, and cloud-based data platforms.
This role requires a balance of
strategic solution design and
technical depth across data modelling, data integration, and architecture on modern data stacks (AWS, Azure, or Databricks).
You will collaborate with business stakeholders, data engineers, and AI specialists to translate complex business needs into robust, scalable, and future-ready data solutions.
Key Responsibilities
Solution Architecture & Design
- Define end-to-end architecture for data analytics, warehousing, and AI-driven solutions.
- Design scalable data platforms leveraging AWS, Azure, or Databricks ecosystems.
- Evaluate and select appropriate data architecture components, tools, and frameworks.
- Create architecture blueprints, data flow, and integration frameworks.
Data Modelling & Governance
- Develop conceptual, logical, and physical data models aligned to business requirements.
- Design and optimize data warehouse schemas (star, snowflake, data vault, etc.).
- Define and implement metadata, data lineage, and data governance frameworks.
- Collaborate with engineering teams to ensure model accuracy and performance.
Technical Leadership
- Provide architectural guidance and best practices for data engineering teams.
- Lead technical discussions and solution workshops with stakeholders and partners.
- Support pre-sales by contributing to solution proposals and architecture decks.
- Mentor and upskill team members on data modelling and architecture practices.
Implementation & Delivery
- Oversee data solution implementation ensuring architectural integrity.
- Work closely with cross-functional teams for end-to-end project execution.
- Define performance tuning, scalability, and security standards for data platforms
