GCP Senior Data Architect
United States
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Job Description
GCP Senior Data Architect
Others, American Samoa

Job Summary

Enterprise Data & AI Strategy

  • Define the enterprise data architecture, reference models, and technology roadmap.
  • Establish strategy for enterprise adoption of LLMs, RAG architectures, LLMOps pipelines, and autonomous agent-based AI systems.
  • Drive integration of structured, semi‑-structured, and unstructured data for generative AI use cases.

Data Platform & Pipeline Architecture

  • Design and govern data lake, data warehouse, and lakehouse architectures.
  • Lead ingestion, transformation, quality, metadata, and governance frameworks.
  • Architect real-time, batch, and streaming pipelines across cloud platforms.
  • Implement scalable vector databases, embedding pipelines, and semantic search workloads.

Cloud Modernization & Data Engineering

  • Drive cloud data modernization using AWS, Azure, or GCP native services.
  • Lead data engineering using Spark, Databricks, Snowflake, BigQuery, or Synapse.
  • Implement DataOps/MLops pipelines using Airflow, ADF, Glue, or similar.
  • Extend MLOps to LLMOps: prompt management, model registries for LLMs, evaluation frameworks, guardrails, and observability.

Governance, Quality & Compliance

  • Ensure data governance maturity—cataloging, classification, lineage, ownership, and policy automation.
  • Establish governance for generative AI: responsible AI controls, toxicity filtering, guardrails, hallucination evaluation, and bias mitigation.
  • Ensure compliance with GDPR, DPDP, HIPAA, PCI, SOC2, and emerging AI regulations.

AI, ML, and Agentic Workflows

Key Responsibilities

Cloud Modernization & Data Engineering

  • Drive cloud data modernization using AWS, Azure, or GCP native services.
  • Lead data engineering using Spark, Databricks, Snowflake, BigQuery, or Synapse.
  • Implement DataOps/MLops pipelines using Airflow, ADF, Glue, or similar.
  • Extend MLOps to LLMOps: prompt management, model registries for LLMs, evaluation frameworks, guardrails, and observability.

Governance, Quality & Compliance

  • Ensure data governance maturity—cataloging, classification, lineage, ownership, and policy automation.
  • Establish governance for generative AI: responsible AI controls, toxicity filtering, guardrails, hallucination evaluation, and bias mitigation.
  • Ensure compliance with GDPR, DPDP, HIPAA, PCI, SOC2, and emerging AI regulations.

AI, ML, and Agentic Workflows

Partner with AI/ML teams to build feature

Skill Requirements

  • Partner with AI/ML teams to build feature stores, training pipelines, and model deployment workflows.
  • Enable RAG (Retrieval Augmented Generation) architectures for generative AI.
  • Lead implementation of Agentic AI systems—tool‑-using autonomous agents, orchestrators, and workflow automation frameworks.
  • Drive integration of enterprise systems (ERP, CRM, ITSM) with AI agents to enable autonomous decision-making and task execution.

Operational Excellence & Performance

  • Lead data platform performance, cost optimization, and operational reliability.
  • Drive observability and monitoring across data, ML, LLM, and agentic systems.
  • Build reusable accelerators, patterns, and platform components.

Other Requirements

  • Collaborate with business, Product, and IT teams to translate requirements into enterprise-grade AI‑-ready data solutions.
  • Support RFPs, pre-sales, estimations, and strategic client conversations.
  • Mentor Data Engineers, Data Architects, Analysts, governance teams, and GenAI solution teams.
  • Establish and scale a Data & AI Center of Excellence (CoE).
Maximum Salary (US):  211000
Minimum Salary (US):  148000
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Information at a Glance

Why HCLTech?

At HCLTech, you'll supercharge your potential. You'll find your career. And you'll find your spark. All at a place that knows that helping its customers stay on top starts by putting its people first.

HCLTech is a global technology company, home to more than 226,300 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. Consolidated revenues as of 12 months ending December 2025 totaled $14.5 billion.

Compensation and Benefits

A candidate’s pay within the range will depend on their skills, experience, education, and other factors permitted by law. This role may also be eligible for performance-based bonuses subject to company policies. In addition, this role is eligible for the following benefits subject to company policies: medical, dental, vision, pharmacy, life, accidental death & dismemberment, and disability insurance; employee assistance program; 401(k) retirement plan; 10 days of paid time off per year (some positions are eligible for need-based leave with no designated number of leave days per year); and 10 paid holidays per year.