Role: Solution Architect
Required Skills: Azure | SQL
Qualification: BACHELOR OF COMPUTER SCIENCE
Experience: 14 - 18 Years
Function: TECHNOLOGY
Apply By: 2026-12-08
Location: NJ/ NYC/Columbus, OH/Charlotte, NC
Must Have Technical/Functional Skills
- 14+ years of experience in Enterprise Data Architecture, Azure Data Platforms, Databricks, Data Engineering, and Cloud Modernization.
- Proven experience in Enterprise Solution architecture using Azure, Databricks and related technology components across the Data to Insights end to end value chain.
- Strong hands-on expertise in Azure Data Services, Azure Databricks, Databricks Genie, Unity Catalog, Delta Lake, Python, PySpark, and SQL.
- Proven experience designing and implementing Lakehouse Architectures, enterprise data platforms, and modern analytics solutions.
- Strong understanding of Databricks Data Intelligence Platform, including Databricks SQL, Workflows, Lakeflow, MLflow, Unity Catalog, Serverless, and Performance Optimization.
- Experience building AI-enabled analytics solutions using Databricks Genie, natural language analytics, semantic models, and governed data access patterns.
- Expertise in Data Engineering including ETL/ELT, batch and streaming integration, APIs, orchestration, data quality, metadata, lineage, observability, and DataOps practices.
- Strong knowledge of Enterprise Data Architecture, including data models, data products, lakehouse and warehouse patterns, semantic layers, 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, Databricks, 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 Azure Databricks-based data, analytics, and AI platforms.
- Design scalable, secure, and high-performance Lakehouse solutions using Azure Data Services, Azure Databricks, Delta Lake, and Unity Catalog.
- Architect data ingestion, integration, batch, streaming, and data engineering solutions supporting enterprise analytics and AI use cases.
- Design and implement AI-enabled analytics solutions using Databricks Genie, semantic models, and governed data access frameworks.
- Establish data governance, security, metadata, lineage, observability, and responsible AI standards across the platform.
- Lead data platform modernization, migration, and cloud transformation initiatives on Azure.
- Define architecture standards, reusable frameworks, best practices, and DataOps delivery models.
- Provide technical leadership across solution design , implementation, testing, migration, deployment, and production support activities.
- Conduct architecture reviews, identify risks and dependencies, and guide teams on mitigation strategies and best practices.
- Drive platform performance optimization, reliability improvements, and cost optimization across Azure and Databricks environments.
- Collaborate with data engineers, AI specialists, architects, platform teams, and client stakeholders to deliver enterprise-scale solutions.
- Support solutioning, RFP responses, effort estimation, technical presentations, and client workshops.
- Mentor architects and engineers and contribute to capability development, technical assessments, and knowledge-sharing initiatives.
- Develop reusable accelerators, reference architectures, implementation frameworks, and best practices for Azure Databricks and AI solutions.
Generic Managerial Skills, If any
- Strong leadership and stakeholder management skills with the ability to work effectively across business, data, engineering, and architecture teams.
- Excellent communication and presentation skills for technical, business, and executive audiences.
- Strong consulting and problem-solving mindset with the ability to evaluate options and recommend practical solutions.
- Proven ability to lead cross-functional and distributed teams while driving collaboration and delivery outcomes.
- High ownership, accountability, and attention to detail with a focus on quality and customer success.
- Strong planning, prioritization, and decision-making skills while managing multiple initiatives and stakeholders.
- Experience mentoring architects and engineers and promoting engineering best practices.
- Ability to proactively manage risks, dependencies, and escalations throughout the project lifecycle.
- Strong client-facing experience supporting workshops, architecture reviews, solution presentations, and executive discussions.
- Adaptability to work in fast-paced environments with evolving business priorities and technology landscapes.
TCS Employee Benefits Summary:
Discretionary Annual Incentive.
Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
Family Support: Maternal & Parental Leaves.
Insurance Options: Auto & Home Insurance, Identity Theft Protection.
Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement.
Time Off: Vacation, Time Off, Sick Leave & Holidays.
Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.
Salary Range: $140,000 - $180,000 a year