Role: Technical Architect
Required Skills: Azure | Data Analytics
Qualification: BACHELOR OF COMPUTER SCIENCE
Experience: 6 - 14 Years
Function: TECHNOLOGY
Apply By: 2026-12-08
Skill: Data & Analytics Solutions Architect (Azure + Snowflake + Cortex)
Location: NJ/NYC, Chicago.
Must Have Technical/Functional Skills:
- 14+ years of experience in Enterprise Data Architecture, Azure Data Platforms, Snowflake, Data Engineering, and Cloud Modernization.
- Proven experience in Enterprise Solution architecture using Azure, Snowflake, Cortex and related technology components across the Data to Insights end to end value chain.
- Strong hands-on expertise in Azure Data Services, Snowflake Data Cloud, Snowflake Cortex AI, Python, SQL, Spark, and Data Modeling.
- Proven experience designing and implementing enterprise data platforms, Data Lakehouse architectures, Data Warehousing, and modern analytics solutions.
- Strong understanding of Snowflake Architecture, including virtual warehouses, Snowpipe, streams & tasks, data sharing, workload management, performance tuning, and cost optimization.
- Experience building AI-enabled analytics solutions using Snowflake Cortex AI Functions, Cortex Search, Cortex Analyst, Cortex Agents, GenAI, and RAG-based solutions.
- Expertise in Data Engineering including ETL/ELT, batch and streaming integration, APIs, orchestration, data quality, metadata management, lineage, observability, and DataOps practices.
- Strong knowledge of Enterprise Data Architecture, including data models, data products, semantic layers, lakehouse and warehouse patterns, and master/reference data management.
- Experience implementing Security, Governance, and Compliance controls including IAM/RBAC, encryption, privacy, masking, auditability, retention, and responsible AI practices.
- Proven experience leading architecture definition, HLD/LLD preparation, NFR assessment, migration planning, technical governance, and production readiness activities.
- Experience supporting cloud transformation initiatives, solutioning, RFP responses, effort estimation, and client-facing architecture discussions.
- Good understanding of BFSI regulatory, security, privacy, resilience, and audit requirements.
- Bachelor's degree in Computer Science, Engineering, Information Systems, Data Management, or a related discipline.
- Preferred certifications in Azure Solutions Architecture, Azure Data Engineering, Snowflake (SnowPro), Data Management, Enterprise Architecture, Security, or AI/ML.
Roles & Responsibilities:
- Engage with business and technology stakeholders to understand data, analytics, AI, and cloud transformation requirements.
- Define end-to-end architecture for modern data and AI platforms using Azure, Snowflake, and Snowflake Cortex AI.
- Design secure, scalable, and resilient data platforms integrating Azure Data Services, Azure Data Lake Storage, and Snowflake.
- Architect batch, near-real-time, and streaming data pipelines supporting enterprise reporting, analytics, and AI use cases.
- Design Snowflake account, database, schema, virtual warehouse, data-sharing, and workload-management patterns.
- Develop AI-enabled analytics solutions using Cortex AI Functions, Cortex Search, Cortex Analyst, and Cortex Agents.
- Establish data governance, security, metadata, lineage, observability, privacy, and responsible AI controls.
- Lead data platform modernization, migration, and cloud transformation initiatives.
- Define reference architectures, engineering standards, reusable patterns, CI/CD, and DataOps practices.
- Provide technical leadership across solution design, implementation, testing, migration, deployment, and production readiness.
- Conduct architecture reviews, identify risks and dependencies, and guide delivery teams on mitigation actions.
- Drive performance, reliability, and cost optimization across Azure and Snowflake environments.
- Collaborate with data engineers, AI specialists, platform teams, and client stakeholders to deliver production-ready solutions.
- Support solutioning, RFP responses, effort estimation, technical presentations, demonstrations, and client workshops.
- Mentor architects and engineers and contribute to technical assessments, capability development, and knowledge sharing.
- Develop reusable accelerators, implementation playbooks, and best practices for Azure, Snowflake, and Cortex AI solutions.
Salary Range - $140,000-$180,000 a year
TCS Employee Benefits Summary:
1.Discretionary Annual Incentive.
2.Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
3.Family Support: Maternal & Parental Leaves.
4.Insurance Options: Auto & Home Insurance, Identity Theft Protection.
5.Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement.
6.Time Off: Vacation, Time Off, Sick Leave & Holidays.
7.Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.