Senior Solution Architect

Experience: Not Available to Not Available years

Location: Chennai, India

Skills: data engineering, AI, ML, enterprise architecture, data platforms, data lakes, lakehouses, data warehouses, AI/ML ecosystems, advanced analytics, MLOps, data governance, data quality, metadata management, master data management, security architectures, access control, encryption, privacy compliance, Responsible AI, explainability, observability, lifecycle governance

Job Summary
Role Overview
The Data Engineering & AI/ML Architect is a strategic technology leader responsible for defining enterprise‑wide data and AI architectures. This role drives the vision, standards, and roadmap for scalable data platforms and AI/ML ecosystems, enabling advanced analytics, AI‑driven decision‑making, and digital transformation across the organization. The role operates at the intersection of business strategy, platform engineering, data science, and enterprise architecture, ensuring solutions are future‑ready, compliant, and aligned with long‑term organizational goals.

Key Responsibilities
Enterprise Architecture & Strategy
Define and own the enterprise architecture vision for data engineering and AI/ML platforms.
Establish long‑term architecture roadmaps aligned with business, technology, and cloud strategies.
Evaluate emerging data and AI technologies and guide strategic adoption decisions.

Data Platform Architecture
Architect large‑scale data platforms (data lakes, lakehouses, data warehouses) supporting enterprise analytics and AI use cases.
Govern architecture patterns for data ingestion,



processing, storage, and consumption across domains.
Ensure non‑functional requirements such as scalability, reliability, performance, and cost optimization are met.

AI / ML Architecture & MLOps
Define reference architectures for ML lifecycle management, including feature stores, training pipelines, model deployment, and monitoring.
Drive enterprise MLOps standards to enable reproducible, secure, and scalable AI solutions.
Oversee AI solution readiness including explainability, observability, and lifecycle governance.

Governance, Security & Responsible AI
Establish data governance frameworks covering data quality, lineage, metadata, and master data management.
Define security architectures for data and AI platforms, including access control, encryption, and privacy compliance.
Champion Responsible AI practices such as fairness, bias mitigation, auditability, and regulatory compliance.

Technical Leadership & Mentorship
Act as the principal technical authority for data and AI architectures.
Review and approve solution designs for complex, high‑impact initiatives.
Mentor architects, senior engineers, and data scientists; build architectural maturity across teams.

Stakeholder & Executive Engagement
Partner with senior business stakeholders to translate strategic objectives into technology architecture.
Communicate complex architectural concepts clearly to executive leadership.
Support investment planning, business cases, and vendor evaluations.

Key Responsibilities
null
Skill Requirements
null
Other Requirements
null

📌 Senior Solution Architect (Chennai)
🏢 HCL Technologies
📍 Chennai