Tata Consultancy Services (TCS) is an equal prospect 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 has been serving the Canadian marketplace for more than 35 years and today is the technology partner of choice for many of the country's leading organizations. As one of the largest IT services providers in Canada and globally, TCS is aiming 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 and values of the Tata Group, TCS is focused on creating long-term value for its clients, investors, employees, and the communities it serves. With a highly skilled workforce supporting customers from coast to coast, TCS has consistently been recognized as a Top Employer by the Top Employers Institute, including a recent top ranking at the country level.

TCS also sponsors 14 of the world's most prestigious marathons and endurance events, including the TCS Toronto Waterfront Marathon, reflecting its commitment to health, sustainability, and community empowerment.

Key Requirements

Years of experience in enterprise Data Warehouse and Data Lake platforms

Hands-on experience with Databricks and Spark at scale

Strong experience in modernizing legacy Cloudera platforms (CDH/CDP, Hive, HBase, Impala, Spark)



to Databricks Lakehouse

Redesign ingestion, transformation, and consumption patterns from HDFS-based architecture to cloud object storage and Delta Lake

Refactor legacy Hive/Impala logic into PySpark and Spark SQL ELT pipelines

Ensure data reconciliation, audit integrity, and consistency during migration

Design and govern enterprise Data Warehouse and Data Lake/Lakehouse architectures

Implement layered architecture including Raw/Landing, Curated/Conformed, and Semantic/Consumption layers

Modernize traditional EDW platforms into scalable lakehouse architectures

Strong experience in finance and risk data models including General Ledger, Sub-ledger, financial hierarchies, and risk exposure models (credit, liquidity, market risk)

Enable reporting use cases including aggregation, drill-down, and drill-back capabilities

Build and manage semantic/consumption layers for BI, reporting, and analytics

Define business metrics, dimensions, hierarchies, and KPIs

Experience with Databricks SQL, Delta tables, and dbt or similar frameworks

Develop and optimize large-scale data pipelines using PySpark, Spark SQL, and Delta Lake

Implement Medallion architecture (Bronze, Silver, Gold layers)

Optimize workloads using Z-ORDER, OPTIMIZE, caching,



and cluster configurations

Implement data governance, data quality frameworks, reconciliation controls, and exception handling

Establish data lineage and metadata management

Ensure data security, access control, and compliance standards

Experience with cloud platforms such as AWS or Azure

Experience with CI/CD pipelines using Git, Terraform, Jenkins, or Azure DevOps

Familiarity with orchestration tools such as Airflow or Databricks Workflows

Experience with dbt is a plus

Act as a technical authority and lead architecture decisions

Mentor and guide senior engineers and establish engineering standards

Strong stakeholder management with finance, risk, analytics, and governance teams

Ability to translate complex data structures into business-ready insights

Nice to Have

Experience in BFSI, Capital Markets, or regulatory reporting

Exposure to SAP Finance, Oracle Financials, or S/4HANA

Experience supporting AI/ML workloads

Databricks or cloud certifications

Impact

Lead Cloudera to Databricks transformation initiatives

Shape enterprise finance and risk data platforms

Support regulatory, management, and analytical reporting systems

Salary Range - CA$ 90,000 - CA$ 110,000 Per Year 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.

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📌 Principal Data Engineer – Databricks (Winnipeg)
🏢 TATA Consultancy Services
📍 Winnipeg