Inclusion without Exception

Tata Consultancy Services (TCS) is an equal opportunity employer, and embraces diversity in race, nationality, ethnicity, gender, age, physical ability, neurodiversity, and sexual orientation, to create a workforce that reflects the societies we operate in. Our continued commitment to Culture and Diversity is reflected in our people stories across our workforce and implemented through equitable workplace policies and processes.

TCS is an IT services, consulting, and business solutions organization that has been partnering with many of the world’s largest businesses in their transformation journeys for over 55 years. Its consulting-led, cognitive-powered portfolio of business, technology, and engineering services and solutions is delivered through its unique Location Independent Agile™ delivery model, recognized as a benchmark of excellence in software development. A part of the Tata group, India's largest multinational business group, TCS operates in 55 countries and employs over 607,000 highly skilled individuals, including more than 10,000 in Canada.

The company generated consolidated revenues of US $30 billion in the fiscal year ended March 31, 2025, and is listed on the BSE and the NSE in India. TCS' proactive stance on climate change and award-winning work with communities across the world have earned it a place in leading sustainability indices such as the MSCI Global Sustainability Index and the FTSE4Good Emerging Index.

The opportunity

We are hiring a senior Data & Analytics Solutions Architect to lead the design of enterprise data, analytics, and AI platforms using AWS and Databricks. This client-facing role combines hands-on architecture, cloud modernization, data engineering, governance, technical leadership, and solution consulting. You will define architecture direction, guide implementation teams, and help clients move from legacy environments to secure, scalable, production-ready platforms.

What you will do





- Engage business and technology stakeholders to understand data, analytics, AI, cloud, and modernization requirements.
- Define end-to-end architecture for AWS and Databricks-based data, analytics, and AI platforms.
- Design secure, scalable, and high-performance Lakehouse solutions using AWS services, Databricks, Delta Lake, and Unity Catalog.
- Architect data ingestion, integration, batch, streaming, data engineering, semantic, analytics, and AI solutions.
- Design AI-enabled analytics experiences using Databricks Genie, semantic models, natural-language analytics, and governed data access.
- Lead architecture definition, HLD/LLD preparation, non-functional assessments, migration planning, technical governance, and production readiness.
- Establish standards for security, governance, metadata, lineage, observability, responsible AI, and DataOps delivery.
- Lead data-platform modernization and cloud migration initiatives while addressing scalability, reliability, and compliance.
- Conduct architecture reviews, identify risks and dependencies, and guide teams on practical mitigation strategies.
- Drive performance, reliability, serverless-compute, and cost optimization across AWS and Databricks environments.
- Support solutioning, RFP responses, effort estimation, technical presentations, and client workshops.
- Mentor architects and engineers and develop reusable accelerators, reference architectures, implementation frameworks, and best practices.

What you bring

- 14+ years of experience in enterprise data architecture, AWS data platforms, Databricks, data engineering,



and cloud modernization.
- Hands-on expertise with AWS data services, Databricks, Databricks Genie, Unity Catalog, Delta Lake, Python, PySpark, and SQL.
- Solid knowledge of the Databricks Data Intelligence Platform, including Databricks SQL, Workflows, Lakeflow, MLflow, serverless compute, and performance optimization.
- Experience designing Lakehouse architectures, enterprise data platforms, data products, warehouses, semantic layers, and modern analytics solutions.
- Expertise in ETL/ELT, batch and streaming integration, APIs, orchestration, data quality, metadata management, lineage, observability, and DataOps.
- Experience implementing IAM/RBAC, encryption, privacy, masking, retention, auditability, governance, and responsible AI controls.
- Experience supporting cloud transformation, architecture governance, RFPs, estimates, and client-facing solution discussions.
- Understanding of BFSI regulatory, security, privacy, resilience, and audit requirements.
- Bachelor's degree in a relevant discipline. AWS, Databricks, data engineering, architecture, security, or AI/ML certifications are preferred.

TCS does not use artificial intelligence tools for candidate screening or evaluation. This post is for a current vacancy. The hiring process includes an initial screening, followed by a technical evaluation and managerial discussion.

Tata Consultancy Services Canada Inc. is committed to meeting the accessibility needs of all individuals in accordance with the Accessibility for Ontarians with Disabilities Act (AODA) and the Ontario Human Rights Code (OHRC). Should you require accommodation during the recruitment and selection process, please inform Human Resources.

Thank you for your interest in TCS. Candidates that meet the qualifications for this position will be contacted within a 2-week period. We invite you to continue to apply for other opportunities that match your profile.

📌 Data & Analytics Solutions Architect (Toronto)
🏢 TATA Consultancy Services
📍 Toronto