Data Architect

The Data Architect is responsible for designing, governing, and optimizing an organization’s data architecture with a primary focus on treating data as a strategic asset. This role ensures that data is accurate, accessible, secure, interoperable, and aligned with business goals. The Data Architect works across business, technology, and analytics teams to create data models / data product, standards, and architectures that empower advanced analytics, AI, automation, and digital transformation.

Required

Bachelor’s degree in Computer Science, Information Systems, Data Management, or related field.

8-12 years of experience in data architecture, data engineering, or database development.

Expertise in database technologies (SQL, NoSQL), data mining, and programming languages like Python, Scala, Java.

Proficiency in data modelling (Canonical Data Model, Semantic Data Model) and schema design.

Familiarity with ETL (Extract, Transform, Load) tools and processes for efficiently transforming and loading data.

Hands-on experience with cloud data platforms (GCP/Azure/AWS) and modern data processing tools.

Solid understanding of data governance, data quality, metadata management and master data management(MDM), referenced data management, transactions data management.

Experience with data lakehouse architectures, data mesh, or data fabric.

Familiarity with structural and non structural like big data tools (Hadoop/Spark, Kafka, Databricks, Big Query).

Experience supporting AI/ML workloads with high-quality data structures.

Strong analytical and problem-solving abilities.

Excellent communication and stakeholder management skills.

Ability to create clear architecture artifacts and documentation.

Adaptability and a commitment to continuous learning to stay updated with evolving technologies.

Good To have

Master’s degree or relevant certifications (GCP Data Engineer/Azure/AWS Data Architect, TOGAF).

Exposure to GCP data service like (Postgres, Big Query etc.)

Exposure in Automative Industry.