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- Employment type
- Full-time
- Experience level
- Lead · 10+ years
- Posting language
- English
- Working hours
- 40 hours per week
- Seniority
- Mid-Senior level
- Application method
- Direct apply is available
Job summary
Define and govern target-state architecture across the Wealth Data and Analytics portfolio, leading solution design for cloud data platforms, DataOps, MLOps, and analytics. Establish integration patterns and oversee vendor solutions and delivery teams while supporting data consolidation, client-view initiatives, architecture alignment, intake reviews, estimates, roadmaps, and technology decisions.
Job details
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. Required skill set "Skills and Responsibilities Solution Architect to support DataOps expansion, Data Consolidation, Salesforce integrations, Campaign Modernization, MLOps enablement, and SAS Modernization. Heavy experience required in:• AWS data platforms (S3, Glue, Redshift, Lake Formation, Lambda) DataOps and modern data architecture• MLOps and analytics platforms• Data warehousing, data lakes, and data consolidation. Event-driven, batch, and real-time integration patterns, Data governance, security, and access managementNice-to-have experience:• Salesforce integrations and API-led architecture. SAS modernization or legacy-to-cloud transformationsPrimary ResponsibilitiesDefine and govern target-state architecture across the Wealth D&A portfolio. Lead solution design for cloud data platforms, DataOps, MLOps, and analytics capabilities.Establish integration patterns between Salesforce, Wealth platforms, DataOps, CDS, and other enterprise platforms. Support data consolidation and Wealth Client View initiatives. Provide architecture oversight for vendor solutions and project delivery teams.Partner with Wealth Senior solution Architect and Enterprise Architecture to ensure alignment with strategic standards. Support intake reviews, estimates, roadmaps, and technology decisions. Salary Range - CA$ 100,000 - CA$ 120,000 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. 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.
What you’ll do
Define and govern target-state architecture across the Wealth Data and Analytics portfolio, leading solution design for cloud data platforms, DataOps, MLOps, and analytics. Establish integration patterns and oversee vendor solutions and delivery teams while supporting data consolidation, client-view initiatives, architecture alignment, intake reviews, estimates, roadmaps, and technology decisions.
Requirements
Requires substantial experience with AWS data platforms, DataOps, modern data architecture, MLOps, analytics, data warehousing, data lakes, and data consolidation. Experience with event-driven, batch, and real-time integrations, data governance, security, and access management is also required; Salesforce integration and SAS modernization experience are desirable.
Listed skills
- Teams · Preferred
- Client · Preferred
- Data analysis · Preferred
- management · Preferred
- Process · Preferred
- Integrations · Preferred
- Amazon Web Services · Preferred
- Time · Preferred
- Integration · Preferred
- batch · Preferred
- Salesforce · Preferred
- Customer · Preferred
Other relevant skills
Identified from the job description. Confirm important requirements above.
- AWS Data Platforms
- Amazon S3
- AWS Glue
- Amazon Redshift
- AWS Lake Formation
- AWS Lambda
- DataOps
- Modern Data Architecture
- MLOps
- Analytics Platforms
- Data Warehousing
- Data Lakes
- Data Consolidation
- Salesforce Integrations
- API-Led Architecture
- Data Governance
Job areas
- Technology
- Data & Analytics
- Software
- Consulting
- Management & Leadership
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