{"id":3105225,"url":"https://alion.io/job/tata-consultancy-services-data-analytics-solutions-architect-2","title":"Data & Analytics Solutions Architect","company":{"id":222,"name":"Tata Consultancy Services","domain":"tcs.com","url":"https://alion.io/company/tata-consultancy-services","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Career site","truth_index":{"grade":"A","score":100,"open_postings":231,"ghost_share":0,"stale_share":0,"repost_share":0.009,"time_to_fill_p50_days":2,"computed_at":"2026-10-27T05:46:45Z"}},"role":"Solutions","role_family":"Solutions","seniority":"staff","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Toronto, Canada"],"countries":["CA"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":110000,"max":130000,"currency":"CAD","period":"year","gross":null,"usd_annual":92924},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Airflow","optional":false},{"name":"Apache Hudi","optional":false},{"name":"Apache Iceberg","optional":false},{"name":"Apache Kafka","optional":false},{"name":"Apache NiFi","optional":false},{"name":"Cassandra","optional":false},{"name":"CI/CD","optional":false},{"name":"Delta Lake","optional":false},{"name":"Feature Store","optional":false},{"name":"Flink","optional":false},{"name":"Kubeflow","optional":false},{"name":"Kubernetes","optional":false},{"name":"LLM","optional":false},{"name":"LLMOps","optional":false},{"name":"Machine Learning","optional":false},{"name":"MLFlow","optional":false},{"name":"OpenSearch","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"Trino","optional":false},{"name":"Java","optional":true},{"name":"pySpark","optional":true},{"name":"Scala","optional":true},{"name":"SQL","optional":true}],"status":"live","first_seen_at":"2026-10-22T18:46:55Z","employer_posted_date":"2026-10-25","last_verified_at":"2026-10-27T21:55:44Z","board_verified":true,"closed_at":null,"days_open":5,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":5},"description":"Role: Lead. Skills: Kafka, Python, Apache, Open Source. Experience: 5 - 18 Years\nInclusion without Exception\nTata 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.\nTCS 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.\nRooted 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.\nTCS 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.\nJob Description :-\nSkills Required:\nSenior years of experience in Enterprise Data Architecture, Open-Source Data Platforms, Distributed Data Processing, and Data Engineering.\nProven experience in Enterprise Solution architecture using Open source technology stack across the Data to Insights end to end value chain.\nStrong hands-on expertise in Apache Spark, PySpark, Kafka, Flink, Airflow, NiFi, Trino, SQL, Python, Scala, and Java.\nProven experience in designing and implementing open-source data platform architectures, including component selection, integration, scalability, interoperability, and platform modernization.\nDeep understanding of batch, streaming, and real-time data processing architectures, including performance tuning, workload optimization, and failure recovery.\nExperience building modern Data Lakehouse architectures using Apache Iceberg, Hudi, Delta Lake, object storage, and open table formats.\nStrong knowledge of event-driven architectures, CDC, APIs, schema management, and enterprise integration patterns.\nExpertise in DataOps practices, including Airflow orchestration, CI/CD, automated testing, observability, metadata management, lineage, and platform operations.\nExperience with PostgreSQL, Cassandra, MongoDB, OpenSearch, and enterprise analytics platforms, including data modeling, indexing, workload management, and availability design.\nStrong understanding of security, governance, and compliance, including RBAC, identity management, encryption, privacy controls, auditability, metadata governance, and vulnerability management.\nProven ability to lead architecture definition, HLD/LLD creation, NFR assessment, migration planning, technical governance, and production readiness activities.\nExperience supporting large-scale data platform modernization, cloud migration, solutioning, RFP responses, effort estimation, and client-facing architecture discussions.\nGood understanding of BFSI regulatory, security, resilience, privacy, and operational requirements.\nBachelor’s degree in computer science, Engineering, Information Systems, Data Management, or a related discipline.\nPreferred certifications in Cloud Data Engineering, Kubernetes, Enterprise Architecture, Data Management, Security, DevOps, or Open-Source Data Platforms.\nExperience assessing business use cases and selecting the appropriate approach across BI/KPI reporting, rules, statistical methods, forecasting, machine learning, and GenAI, with clear baselines, acceptance criteria, and measurable business KPIs.\nUnderstanding of AI/ML platform architecture supporting feature engineering, model training, batch and real-time inference, and integration of ML and GenAI workloads with enterprise open-source data platforms.\nUnderstanding of MLOps and LLMOps capabilities, including experiment tracking, model registry, feature stores, pipeline orchestration, automated quality gates, and versioning of data, models, and prompts using tools such as MLflow and Kubeflow.\nExposure to AI observability and monitoring for data drift, model drift, LLM quality, tracing, latency, availability, alerting, and operational runbooks.\nRoles and Responsibilities:\nEngage with business and technology stakeholders to understand data strategy, platform requirements, architecture goals, and transformation priorities.\nDesign and define end-to-end architecture for enterprise open-source data platforms supporting batch, streaming, analytics, and AI workloads.\nLead modernization initiatives covering data lakes, lakehouse platforms, distributed processing frameworks, and enterprise data ecosystems.\nArchitect scalable, secure, highly available, and resilient data platforms using open-source technologies and industry best practices.\nDesign data ingestion, integration, streaming, storage, and consumption patterns using technologies such as Spark, Kafka, Flink, NiFi, and Trino.\nEstablish data governance, security, metadata, lineage, privacy, and observability standards across the platform landscape.\nEvaluate and recommend open-source technologies based on business requirements, scalability, supportability, interoperability, and total cost of ownership.\nDefine architecture standards, reference architectures, reusable frameworks, CI/CD practices, and DataOps operating models.\nProvide technical leadership across data modeling, data engineering, platform implementation, migration, testing, deployment, and production readiness activities.\nDrive platform performance optimization, capacity planning, reliability engineering, and operational excellence initiatives.\nConduct architecture reviews, identify risks early, and guide delivery teams on mitigation strategies and best practices.\nSupport solutioning, RFP responses, effort estimation, technical presentations, and client workshops for strategic opportunities.\nCollaborate with engineering teams, platform vendors, open-source communities, and client stakeholders to deliver scalable and sustainable solutions.\nMentor architects and engineers, contribute to technical capability development, and establish reusable accelerators, playbooks, and best practices.\nSupport hiring, technical assessments, and knowledge-sharing initiatives across Data Engineering, Open-Source Platforms, and Modern Data Architecture.\nAssess candidate use cases with business, technology, data, and risk stakeholders; recommend BI, rules, analytic s, ML, or GenAI based on feasibility, risk, cost, and measurable business outcomes.\nIntegrate data, ML, and GenAI reference architectures covering data sources, feature pipelines, models or LLMs, vector stores, serving layers, consuming applications, and enterprise integration points.\nPartner with platform and operations teams to productionize AI ML and LLM workloads on Kubernetes.\nSalary Range :- 110K - 130K CAD/YEAR\nTata 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.\nThank 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.","description_format":"text","description_chars":7914,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["IT Consulting & Digital Transformation","IT Outsourcing & Dedicated Teams","Systems Integrators","Management Consulting"],"lifecycle":[{"event":"open","at":"2026-10-22T18:46:55Z"},{"event":"close","at":"2026-10-24T19:46:16Z"},{"event":"reopen","at":"2026-10-25T12:53:39Z"}],"visa":[],"liveness":{"score":25,"band":"fade","label":"Fading","p_open":1,"p_active":0.707,"p_room":0.35,"age_days":4,"expected_fill_days":2,"reasons":["conf:2","wave","velocity","win:tail","comp:brand"],"computed_at":"2026-10-27T05:46:45Z"},"pay":{"stated_usd_annual":92924,"is_top_pay":false},"html_url":"https://alion.io/job/tata-consultancy-services-data-analytics-solutions-architect-2","json_url":"https://alion.io/job/tata-consultancy-services-data-analytics-solutions-architect-2.json","meta":{"generated_at":"2026-10-28T00:05:12Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":129,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-29T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":222},"rest":"https://alion.io/mcp/rest/get_company?id=222"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Ftata-consultancy-services-data-analytics-solutions-architect-2"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Ftata-consultancy-services-data-analytics-solutions-architect-2"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Ftata-consultancy-services-data-analytics-solutions-architect-2"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/tata-consultancy-services-data-analytics-solutions-architect-2\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Ftata-consultancy-services-data-analytics-solutions-architect-2"}]}