Regional Data Technical Lead jobs in United States
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Tata Consultancy Services · 19 hours ago

Regional Data Technical Lead

Tata Consultancy Services is seeking a Regional Data Technical Lead to oversee the strategic design and implementation of enterprise-scale data solutions. The role requires deep expertise in creating scalable and secure data architectures on cloud platforms to support AI and ML initiatives, bridging the gap between business needs and technical implementation.

Business Information SystemsConsultingInformation TechnologyIT Management
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H1B Sponsor Likelynote

Responsibilities

Create and document scalable, secure, and cost-effective data architecture in the cloud (AWS/Azure/GCP) to support AI/ML data workloads
Build, optimize, and deploy end-to-end data solutions, such as recommendation data processing engines and data analytic engines
Proficiency in Data pipelines, ETL processes, Big Data Analytics and data management (SQL, NoSQL, data cleaning)
Select and implement appropriate technologies, including data lakes, batch processing, real-time processing systems and MLOps tools
Work with stakeholders, data scientists, and other teams to translate business requirements into technical specifications and ensure successful technical delivery
Ensure the reliability, performance, and security of Data & AI intensive systems

Qualification

Big Data platformsCloud data servicesMachine Learning frameworksPythonData modelingSQLData GovernanceData QualityData IntegrationTechnical communicationCollaboration

Required

Experience in Big data platforms, Data modeling, and Distributed computing frameworks like Databricks, Snowflake, Hadoop or Spark
Deep knowledge and expertise in cloud data services and platforms (AWS, Azure, and Google Cloud)
Experience in machine learning frameworks, platforms, and MLOps (Machine Learning Operations) practices
Proficiency in languages like Python, Spark and SQL for data manipulation and system development
Strong ability to document architectures and communicate complex technical concepts to both technical and non-technical audiences
Experience with any of the following Cloud Native Data Services: Azure Data Factory, MS Fabric, Azure Databricks, Azure Synapse Analytics, Datalake Gen2, Stream Analytics and Azure Dedicated SQL Pool (ADW), Cosmos DB
Experience with AWS Glue, AWS S3, AWS Athena, AWS Kinesis and AWS Redshift / EMR, Dynamo DB
Experience with GCP Dataproc, GCP DataFlow, GCP BigQuery, GCP Cloud Storage, Cloud SQL and Pub Sub, Google BigTable, Google Spanner
Experience with Informatica: IDMC, Informatica, SaaS, CDI, CDQ
Experience with Informatica Based MDM SaaS implementation and Data Quality
Experience with Application and Data Integration using CAI/CDI
Experience with other public cloud platforms such as Snowflake and Hadoop
10–15 years of experience in leading the strategic design and implementation of enterprise-scale Data solutions
Expertise in design, development, and deployment of scalable and secure data architectures on cloud platforms to support AI & ML initiatives
Proficiency in Data pipelines, ETL processes, Big Data Analytics and data management (SQL, NoSQL, data cleaning)
Ability to create and document scalable, secure, and cost-effective data architecture in the cloud (AWS/Azure/GCP) to support AI/ML data workloads
Ability to build, optimize, and deploy end-to-end data solutions, such as recommendation data processing engines and data analytic engines
Ability to select and implement appropriate technologies, including data lakes, batch processing, real-time processing systems and MLOps tools
Ability to work with stakeholders, data scientists, and other teams to translate business requirements into technical specifications and ensure successful technical delivery
Ability to ensure the reliability, performance, and security of Data & AI intensive systems

Preferred

Good understanding and implementation experience in Data Governance, Data Quality, Data Modelling etc
Working experience on CDI transformations
Comprehensive understanding of API, Data integration, Data Quality, Data Architecture and CDI best practices and processes
Define/implement Data quality rules in CDQ
Data Profiling, Data Validation using CDQ
Conducting workshops and creating blueprint documents
MDM Architecture, Data Flow Diagrams, Data/Application Integration Architecture creation and presentation
MDM solution design and implementation including Batch and Real time integration

Benefits

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.

Company

Tata Consultancy Services

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Tata Consultancy Services is a business solutions company that specializes on information technology services and consulting.

H1B Sponsorship

Tata Consultancy Services has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (7880)
2024 (9690)
2023 (8537)
2022 (11159)
2021 (9813)
2020 (11984)

Funding

Current Stage
Public Company
Total Funding
unknown
2004-08-25IPO

Leadership Team

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K. Krithivasan
Chief Executive Officer & Managing Director
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Aarthi Subramanian
President and Chief Operating Officer
Company data provided by crunchbase