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 in ation, delivery excellence, and trusted advisories.
Awards & Recognitions:
- In ation Partner of the Year - Databricks,
- Digital Impact Award, UK - (TMT Sector)
- Rising Star - APJ Databricks Partner Awards
- 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:
About the Role:
We are looking for a highly skilled Data Architect with hands-on experience in modern cloud-based data platforms and strong working knowledge of Databricks. The candi will architect scalable data ecosystems, design end-to-end data pipelines, and establish data standards to support advanced analytics, BI, and AI initiatives.
Key Responsibilities
Data Architecture & Platform Design
- Design and implement scalable enterprise data architectures across cloud environments.
- Develop conceptual, logical, and physical data models for analytical and operational use cases.
- Define data ingestion, transformation, and integration patterns using Databricks, Delta Lake, and related frameworks.
- Architect ELT/ETL pipelines leveraging Databricks Workflows, Delta Live Tables, or orchestration tools.
Databricks & Lakehouse Responsibilities
- Develop and optimize data pipelines on Databricks (SQL, Python, PySpark).
- Implement Lakehouse architecture principles using Delta Lake, Unity Catalog, and Databricks compute clusters.
- Optimize Spark jobs, cluster configurations, and cost/performance strategies.
- Work with Databricks features such as feature store, MLflow, Delta Sharing, and workspace governance.
Data Governance & Quality
- Define data quality rules, lineage, metadata standards, and governance frameworks.
- Collaborate with security teams to ensure compliance with data privacy and security requirements.
- Implement governance structures using Unity Catalog, RBAC, and data access policies.
Cross-functional Collaboration
- Partner with data engineers, analysts, AI/ML teams, and business stakeholders to deliver data-driven solutions.
- Translate business needs into scalable, secure, and efficient data architectures.
- Provide architectural guidance and best practices around Databricks and cloud data systems.
Strategy & In ation
- Evaluate data technologies and recommend tooling aligned with modernization and scalability goals.
- Drive cloud migration and transformation initiatives, including legacy system modernization.
- Contribute to the long-term enterprise data architecture roadmap.
Ideal Candi Profile
- Bachelor s/Master s in Computer Science, Information Systems, Engineering, or related field.
- 8+ years of experience in data architecture, data engineering, or advanced analytics platforms.
- Strong hands-on experience with Databricks (SQL, PySpark, Delta Lake).
- Experience building lakehouse architectures on AWS/Azure/GCP.
- Proficiency with ETL/ELT orchestration tools (Airflow, ADF, Databricks Workflows, DBT, etc.).
- Deep understanding of distributed computing concepts and Spark optimization.
- Strong experience with data warehousing (Snowflake, Redshift, BigQuery, Synapse) and data lakes (S3, ADLS, GCS).
- Expertise in SQL, data modeling, and designing scalable data ecosystems.
- Solid understanding of API integration, streaming platforms (Kafka, Kinesis), and REST architectures.
- Experience with data governance and security frameworks.
Preferred Qualifications
- Databricks certification (Data Engineer Associate/Professional, Data Architect).
- Experience with MLflow, Feature Store, AutoML, or AI/ML pipelines on Databricks.
- Knowledge of Iceberg/Hudi/Delta Lake and Lakehouse best practices.
- Experience with CI/CD pipelines for data (Git, Jenkins, Azure DevOps, Gi b Actions).
Why Join Exponentia.ai?
- In ate with Purpose: Opportunity to create pioneering AI solutions in partnership with leading cloud and data platforms
- Shape the Practice: Build a quee capability from the ground up with full ownership
- Work with the Best: Collaborate with top-tier talent and learn from industry leaders in AI
- Global Exposure: Be part of a high-growth firm operating across US, UK, UAE, India, and Singapore
- Continuous Growth: Access to certifications, tech events, and partner-led in ation labs
- Inclusive Culture: A supportive and diverse workplace that values learning, initiative, and ownership
Ready to build the future of AI with us?
Apply now and become a part of a next-gen tech company that s setting bench ks in enterprise AI solutions.
