Data & Analytics Solutions Architect (AWS + Snowflake + Cortex)

Role: Analyst. Skills: Data Analytics. Experience: 5 - 15 Years

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.

Tata Consultancy Services (BSE: 532540, NSE: TCS) is the

technology partner of choice for industry-leading organizations worldwide.

Since its inception in 1968, TCS has upheld the highest standards of

innovation, engineering excellence and customer service.

It has set an aspiration to become the world's largest

AI-led technology services company and is enabling its clients to transform

themselves across the full AI stack, from infrastructure to intelligence.

Rooted in the heritage of the Tata Group, TCS is focused on

creating long term value for its clients, its investors, its employees, and the

community at large. With a highly skilled workforce spread across 56 countries

and 194 service delivery centers across the world, the company has been

recognized as a top employer in six continents. With the ability to rapidly

apply and scale new technologies, the company has built long term partnerships

with its clients. Many of these relationships have endured into decades and

navigated every technology cycle, from mainframes in the 1970s to artificial

intelligence today.

Must Have

Technical/Functional Skills

• years of experience in Enterprise Data Architecture, AWS Data

Platforms, Snowflake, Data Engineering, and Cloud Modernization.

• Proven experience in Enterprise Solution architecture using AWS, Snowflake,

Cortex and related technology components across the Data to Insights end to end

value chain.

• Strong hands-on expertise in AWS Data Services, Snowflake, Snowflake Cortex,

Snowflake Horizon Catalo g, Apache Iceberg / Snowflake Open Catalog, Python,

PySpark, and SQL.

• Proven experience designing and implementing Lakehouse Architectures,

enterprise data platforms, and modern analytics solutions on AWS.

• Strong understanding of the Snowflake Data Cloud, including Snowflake SQL,

Workflows, Snowpipe, Snowflake Model Registry, Snowflake Horizon Catalog,

Serverless Compute, and Performance Optimization.

• Experience building AI-enabled analytics solutions using Snowflake Cortex,

semantic models, natural language analytics, and governed data access

frameworks.

• Expertise in Data Engineering including ETL/ELT, batch and streaming

integration, APIs, orchestration, data quality, metadata management, lineage,

observability, and DataOps practices.

• Strong knowledge of Enterprise Data Architecture, including data models, data

products, lakehouse and warehouse patterns, semantic layers, and

master/reference data management.

• Experience implementing Security, Governance, and Compliance controls

including IAM/RBAC, encryption, privacy, masking, auditability, retention, and

responsible AI practices.

• Proven experience leading architecture definition, HLD/LLD preparation, NFR

assessment, migration planning, technical governance, and production readiness

activities.

• Experience supporting cloud transformation initiatives, solutioning, RFP

responses, effort estimation, and client-facing architecture discussions.

• Good understanding of BFSI regulatory, security, privacy, resilience, and

audit requirements.

• Bachelor’s degree in Computer Science, Engineering, Information Systems, Data

Management, or a related discipline.

• Preferred certifications in AWS Solutions Architecture, Snowflake, Data

Engineering, Enterprise Architecture, Security, or AI/ML

.

Roles & Responsibilities

• Engage with business and technology stakeholders to understand data,

analytics, AI, and cloud transformation requirements.

• Define end-to-end architecture for AWS Snowflake-based data, analytics, and

AI platforms.

• Design scalable, secure, and high-performance Lakehouse solutions using AWS

Data Services, Snowflake, Apache Iceberg / Snowflake Open Catalog, and

Snowflake Horizon Catalog.

• Architect data ingestion, integration, batch, streaming, and data engineering

solutions supporting enterprise analytics and AI use cases.

• Design and implement AI-enabled analytics solutions using Snowflake Cortex,

semantic models, and governed data access frameworks.

• Establish data governance, security, metadata, lineage, observability, and

responsible AI standards across the platform.

• Lead data platform modernization, migration, and cloud transformation

initiatives on AWS.

• Define architecture standards, reusable frameworks, best practices, and

DataOps delivery models.

• Provide technical leadership across solution design, implementation, testing,

migration, deployment, and production support activities.

• Conduct architecture reviews, identify risks and dependencies, and guide

teams on mitigation strategies and best practices.

• Drive platform performance optimization, reliability improvements, and cost

optimization across AWS and Snowflake environments.

• Collaborate with data engineers, AI specialists, architects, platform teams,

and client stake holders to deliver enterprise-scale solutions.

• Support solutioning, RFP responses, effort estimation, technical

presentations, and client workshops.

• Mentor architects and engineers and contribute to capability development,

technical assessments, and knowledge-sharing initiatives.

• Develop reusable accelerators, reference architectures, implementation

frameworks, and best practices for AWS Snowflake and AI solutions.

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.