Regional Data Technical Lead

Must Have Technical/Functional Skills:

• Data and analytics: Experience in Big data platforms, Data modeling, and Distributed computing frameworks like Databricks, Snowflake, Hadoop or Spark.
• Cloud Platforms: Deep knowledge and expertise in cloud data services and platforms (AWS, Azure, and Google Cloud).
• AI/ML knowledge: Experience in machine learning frameworks, platforms, and MLOps (Machine Learning Operations) practices.
• Programming and scripting: Proficiency in languages like Python, Spark and SQL for data manipulation and system development.
• Technical communication: 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: Azure Data Factory, MS Fabric, Azure Databricks, Azure Synapse Analytics, Datalake Gen2, Stream Analytics and Azure Dedicated SQL Pool (ADW), Cosmos DB.
• AWS: AWS Glue, AWS S3, AWS Athena, AWS Kinesis and AWS Redshift / EMR, Dynamo DB.
• Google Cloud Platform (GCP): GCP Dataproc, GCP DataFlow, GCP BigQuery, GCP Cloud Storage, Cloud SQL and Pub Sub, Google BigTable, Google Spanner.
• Informatica: IDMC, Informatica, SaaS, CDI, CDQ
• Informatica Based MDM SaaS implementation and Data Quality
• Application and Data In tegration using CAI/CDI.
• Other public cloud platforms such as Snowflake and Hadoop

Good to Have these ETL/MDM Skills:

• 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 Batcha and Real time integration

Roles & Responsibilities:

• We are seeking an inventive Data Architect with 10–15 years of experience to lead the strategic design and implementation of enterprise-scale Data solutions. This role requires deep expertise in design, development, and deployment of scalable and secure data architectures on cloud platforms to support AI & ML initiatives. They bridge the gap between business needs and technical implementation by creating the necessary infrastructure for data processing, model training, and inference. This role requires expertise in cloud services, distributed computing, that handle large datasets and complex workloads for AI/ML frameworks, and MLOps to build robust systems.

Key Responsibilities:

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

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: $80,000-$200,000 a year

Location

Seattle, WA

Job Function

TECHNOLOGY

Role

Technical Architect

Job Id

Desired Skills

Artificial Intelligence | Data Analytics | Hadoop

Salary Range

$80,000-$200,000 a year