Must Have Technical/Functional Skills Technical Expertise: * Proficiency in data platforms: Databricks, Snowflake, Palantir Foundry, and their advanced analytics capabilities. * Strong experience with cloud data services: Azure Data Factory, Synapse Analytics, AWS Redshift, Glue, GCP BigQuery, and Dataproc. * Hands-on experience with data lake architectures, ELT/ETL pipelines, and real-time data processing frameworks like Apache Spark and Kafka. * Expertise in SQL, Python, and Scala for data transformation and pipeline development. * Familiarity with data visualization tools like Power BI, Tableau, or Looker. Industry Knowledge: * Understanding of utility-specific data sources, protocols, and standards * Knowledge of distributed energy resources (DERs), smart grids, and IoT in utilities. Data Governance: * Experience implementing governance frameworks, data lineage tools, and security protocols. Certifications: * Cloud certifications (e.g., Azure Data Engineer Associate, AWS Certified Data Analytics â€" Specialty, or Google Professional Data Engineer). * Relevant certifications in data platforms such as Databricks or Snowflake are a plus. Preferred Skills: * Experience with AI/ML frameworks for utilities (e.g., predictive maintenance, energy demand forecasting). * Familiarity with regulatory compliance in the Power & Utilities industry (e.g., NERC CIP). * Knowledge of emerging trends like energy transition, carbon reduction, and sustainability in utilities. * Understanding of modern data mesh and fabric architectures. Experience Required • 10+ years in IT, with at least 5 years in data architecture, engineering, or related roles. * 5+ years of experience in the Power & Utilities industry with a deep understanding of Utility operations and data requirements Roles & Responsibilities • Data Strategy & Architecture: Design end-to-end data architectures to support analytics, machine learning, and operational needs for the Power & Utilities sector, enabling grid modernization, distributed energy management, and predictive analytics. * Platform Expertise: Leverage industry-leading data platforms such as Databricks, Snowflake, and Palantir to build modern data pipelines, lakes, and warehouses. * Cloud Data Services: Architect data solutions using cloud-native services, including Azure Data Factory, Synapse Analytics, AWS Glue, Redshift, BigQuery, and other services on major cloud platforms. * Integration with Industry Systems: Design integration frameworks to connect with utility-specific systems such as SCADA, OMS, AMI, DERMS, and ERP systems to enable real-time and batch data ingestion. * Data Governance: Establish data governance frameworks, ensuring data quality, security, and compliance with regulations (e.g., NERC CIP, FERC). * Advanced Analytics Enablement: Enable utility companies to leverage data for advanced use cases such as grid optimization, energy forecasting, and asset performance monitoring using AI/ML frameworks. * Collaboration: Partner with business stakeholders, IT teams, and engineering teams to define and implement data strategies aligned with organizational goals. * Performance Optimization: Optimize data platforms and pipelines for cost efficiency, scalability, and performance. * Documentation & Best Practices: Create comprehensive technical documentation and promote best practices for data engineering and architecture within the organization. Generic Managerial Skills Soft Skills: * Strong communication and stakeholder management skills. * Ability to translate complex technical solutions into business value for utility leaders. * Support pre-sales activities including engaging prospects, conducting discovery workshops, developing point of views/solutions/scoping, writing proposals, engaging partners, and supporting sales and marketing enablement. * Provide advisory services to existing and new customers on Data Strategy and Consulting * Must be able to communicate with CTO and CXO level audience by demonstrating expertise in managing large data modernization programs Salary Range: $140,000-$180,000 a year 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. #LI-SP1