Azure Data Architect

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.

About TCS:

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,[BS1] 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.

Skills and Responsibilities:

Role

Azure Databricks Architect designs, implements, and optimizes scalable, secure, and high-performance data solutions on the Azure cloud, focusing on the Databricks Lakehouse Platform for advanced analytics and machine learning.

Key responsibilities include architecting data lakes and Delta Lake implementations, building robust data pipelines, ensuring data governance and security, leading ETL/ELT processes, collaborating with cross-functional teams, and guiding the migration and transformation of data to the Azure ecosystem.

Key Responsibilities

• Data Architecture Design:

Design and implement enterprise-grade data platforms using Databricks, including data lakes and Delta Lake, to support structured and unstructured data.

• Data Pipeline Development:

Lead the development of robust ELT / ETL pipelines for both batch and real-time data processing.

• Platform Optimization:

Optimize compute, storage, and network resources for performance and cost-efficiency within Azure.

• Stakeholder Collaboration:

Work with cross-functional teams, including Data Engineers, Data Scientists, and Product teams, to understand business requirements and translate them into technical solutions.

• Data Governance and Security:

Implement and manage data governance policies, security controls, access management, and compliance protocols.

• Migration & Transformation:

Develop strategies and oversee the technical execution for migrating data from existing sources to Azure, leveraging Azure Databricks and other Azure services.

• Technical Leadership:

Provide technical leadership and mentorship to engineering teams, guide architectural standards, and ensure adherence to best practices.

• ML/AI Workloads:

Architect and implement solutions to support machine learning, business intelligence, and data science workloads on Databricks.

Required Skills and Knowledge

• Azure Services:

Strong proficiency in Azure cloud computing and big data technologies, including Azure Data Lake Storage (ADLS), Azure Data Factory and Azure Analysis Services.

• Databricks Platform:

In-depth experience with the Azure Databricks platform, including designing and managing Databricks clusters and pipelines.

• Big Data Technologies

Knowledge of traditional and modern data architectures, data warehousing, NoSQL databases, and big data processing concepts.

• Programming:

Hands-on experience with languages like PySpark and a strong understanding of data transformation and analysis.

• DevOps:

Experience with Azure DevOps for CI/CD pipelines and infrastructure-as-code tools like Terraform or ARM templates is a plus.

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 accommodations 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.

Location

Toronto, ON

Job Function

TECHNOLOGY

Role

Analyst

Job Id

376040

Desired Skills

Azure | Data architect