Azure Data Architect

Overview

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 partnered 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 Location Independent Agile™ delivery model. TCS operates in 55 countries and employs over 607,000 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. TCS is listed on the BSE and the NSE in India. TCS is committed to sustainability initiatives and responsible business practices. 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

Design and implement enterprise-grade data platforms using Databricks, including data lakes and Delta Lake, to support structured and unstructured data. Lead the development of robust ELT / ETL pipelines for both batch and real-time data processing. 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. Develop strategies and oversee the technical execution for migrating data from existing sources to Azure, leveraging Azure Databricks and other Azure services. Provide technical leadership and mentorship to engineering teams, guide architectural standards, and ensure adherence to best practices. Architect and implement solutions to support machine learning, business intelligence, and data science workloads on Databricks. Required Skills and Knowledge

Strong proficiency in Azure cloud computing and big data technologies, including Azure Data Lake Storage (ADLS), Azure Data Factory, and Azure Analysis Services. In-depth experience with the Azure Databricks platform, including designing and managing Databricks clusters and pipelines. Knowledge of traditional and modern data architectures, data warehousing, NoSQL databases, and big data processing concepts. Hands-on experience with PySpark and a strong understanding of data transformation and analysis. Experience with Azure DevOps for CI/CD pipelines and infrastructure-as-code tools like Terraform or ARM templates is a plus. Accessibility and Recruitment

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. 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.

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