Data Architect
NewBe an early applicantSummary
A Data Architect at HCLTech designs and governs end-to-end cloud data, analytics, and AI/ML data platforms in a regulated enterprise setting, guiding engineering teams on architecture across GCP (BigQuery/BigLake), Snowflake, and dbt-based transformation layers while ensuring data governance and security.
HCLTech is a global technology company, home to more than 220,000 people across 60 countries, delivering industry-leading capabilities centered around digital, engineering, cloud and AI, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and Public Services.
Role Specification – Data Architect (Data, Analytics & AI)
Role Overview
We are seeking a Data Architect to support the design and delivery of cloud‑based data, analytics, and AI/ML data platforms.
The role focuses on defining scalable data architectures and guiding engineering teams across GCP, Snowflake, and dbt‑based ecosystems in a regulated enterprise environment.
Key Responsibilities
- Define end‑to‑end data architecture across ingestion, storage, transformation, and consumption layers.
- Design and govern data models and data products on GCP (BigQuery/BigLake) and Snowflake.
- Provide architectural direction for analytics engineering, including dbt‑based transformation layers.
- Enable AI/ML use cases by designing feature datasets, training data pipelines, and model consumption patterns.
- Ensure solutions meet data governance, security, and access control standards.
- Act as architectural authority, working closely with data engineers, analytics engineers, and platform teams.
Required Technical Skills
Data Platforms
- Google Cloud Platform – BigQuery, BigLake, Dataplex, GCS
- Snowflake Data Cloud
Analytics Engineering
- dbt (modelling, testing, documentation, CI/CD integration)
- Strong SQL and analytical data modelling experience
AI / ML Enablement
- Data architecture to support ML training and inference
- Feature store / feature dataset design (conceptual or hands‑on)
Engineering & Delivery
- CI/CD and Infrastructure as Code (Terraform, Helm or equivalent)
- Secure data access and consumption patterns
Experience Required
- Strong experience as a Data Architect / Analytics Architect in large‑scale environments.
- Hands‑on architecture experience with Snowflake and/or GCP analytics platforms.
- Experience supporting analytics and AI/ML data products.
- Comfortable working with multiple delivery teams and stakeholders.