Lead Data Architecture

About Advanced Energy

Advanced Energy Industries, Inc. (NASDAQ: AEIS), enables design breakthroughs and drives growth for leading semiconductor and industrial customers. Our precision power and control technologies, along with our applications know-how, inspire close partnerships and innovation in thin-film and industrial manufacturing. We are proud of our rich heritage, award-winning technologies, and we value the talents and contributions of all Advanced Energy's employees worldwide.

Role Summary

We are looking for a highly skilled Lead Data Architecture with deep expertise and own the direction, standards of AEI’s enterprise data architecture and ensure the health of Data architecture and the creation and updating of key Data Architecture deliverables

Roles & Responsibilities

• Create AEI's Data Architecture vision covering all Data & Analytics components, enterprise-wide baseline and target data architectures, including architectures that enable BI, advanced analytics, machine learning, and AI-enabled data products.
• Support in Data & Analytics solutions and product development as Data architect in terms of Data architecture, standards, best practices, assets and frameworks, ensuring data products are reusable across operational reporting, analytics, data science, and AI use cases.
• Responsible for the design and implementation of AEI’s enterprise data architecture, ensuring current and future business data and analytical needs, including advanced analytics and AI consumption patterns, are supported.
• Be the custodian of enterprise-wide data lineage from source to target and able to deep dive vertically when required.
• Develop holistic roadmap of Data architecture change initiatives across AEI, lead from the front to consolidate data requirements across different initiatives.
• Mentor and provide technical oversight to Data Solution Architects, Data Engineers in creating data products to Business adhering to the data architecture and governance standards
• Plan for team capability growth considering the skills required within the data architecture team and to assist in resourcing decisions
• Key stakeholder and advisor in all new strategic data and analytics initiatives and ensure alignment to the enterprise data strategy
• Drive consistent data standards and approaches, building an environment that encourages continuous improvement and innovation, including the appropriate use of AI to improve data engineering, data quality, metadata management, data discovery, and analytics workflows.
• Responsible for the definition and development of data architecture principles, guidelines, data services, analytical tools, standards, and frameworks required to support AEI Data architecture.
• Define Data migration strategy and device implementation approach
• Provide Data Architecture expertise for Projects Delivery, working with Product Mangers and solution architects.
• Work with Enterprise Application teams, stakeholders and Partners to understand target data architecture delivery dependencies and align delivery timelines.
• Provide architectural support to operations and project delivery teams.
• Lead the data solution design efforts and synergize with Data Governance processes, for analytical and AI consumptions.
• Creating templates for data architecture deliverables and artifacts for Projects and supporting data solution architects to complete
• Evaluate new trends, architect, and deploy new tools, frameworks, and patterns to build sustainable Big Data and Cloud platforms.
• Accountable for defining key indicators of the performance of the Data Architecture
• Accountable for assuring the alignment of data architecture to the target by decision and coordination among cross projects and enterprise

Qualifications

• Bachelor's degree in Computer Science, Engineering, or a related field.·
• 12+ years of overall experience in similar roles
• TOGAF Certified or equivalent
• Deep understanding of the Data architecture discipline, processes, concepts and best practices, that support BI, advanced analytics, machine learning and AI workloads
• Data Solutions Design and Data Integration experience across enterprise platforms, including batch, streaming, API-based, and modern cloud data integration patterns.
• Strong understanding of Data Governance, Security, Privacy and Compliance requirements for an enterprise, including governance of data consumed by AI/ML solutions.
• Data Dictionary and Cataloguing
• Data Lake, Datawarehouse, Lakehouse Design, SQL expertise, Data Ingestion techniques
• Possess strong knowledge of industry best practices around modern data architecture in Cloud and Big Data environments
• Strong experience in Solutions Modelling, Data Modelling – Logical & Physical
• Working knowledge of modern AI-ready data architecture concepts, including embeddings, vector search, RAG, semantic search and the data requirements associated with machine learning and generative AI.
• Understanding of data preparation, feature engineering, and MLOps concepts and how enterprise data platforms enable predictive analytics, machine learning, optimization, forecasting, and other advanced analytics use cases.
• Analytical, Structured thinker, Effective Leadership and Communication
• Background in ERP, Manufacturing, Engineering and Supply Chain is preferable.
• Experience with modern analytics and AI capabilities within platforms such as Azure, Databricks and Microsoft Fabric.

Work Environment:

• Works in a standard office environment utilizing standard office equipment.
• Location: Pune, India
• Works in team and individual environments.
• Ability to work on projects with global team members outside of standard office hours.
• May work weekends and overtime when necessary.
• Ability to travel as needed, both domestic and international