Data Architect

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.

 

Position Summary:

 

The Data Architect is a highly skilled data professional responsible for designing, developing, and implementing scalable data architecture solutions that support enterprise reporting, analytics, and business intelligence initiatives. Working within established enterprise architecture standards, this role translates business and technical requirements into practical data solutions that enable trusted, accessible, and high-quality data across the organization.

 

The Data Architect partners with business stakeholders, Data Product Managers, data engineers, and analytics teams to design and optimize data pipelines, data models, integrations, and analytical platforms. This role applies advanced analytical and problem-solving skills to resolve complex data challenges, improve data accessibility and quality, and support the successful delivery of data and analytics initiatives.

 

The position operates independently on complex assignments, contributes to larger transformation programs, and may lead small projects or data architecture workstreams

 

Roles & Responsibilities

 

• Design, implement, and evolve AEI’s Enterprise Data Architecture, ensuring alignment with current and future business needs across operational reporting, BI, advanced analytics, machine learning, and AI-enabled data products.
• Serve as the custodian of end-to-end data architecture and data lineage, ensuring traceability from source systems through transformation layers to business consumption.
• Work closely with Data Engineering teams to establish robust, scalable, and reusable data ingestion and integration frameworks for enterprise data sources.
• Establish and maintain enterprise data models, metadata standards, data lineage practices, and governance frameworks to enable consistent, governed, and reusable data products.
• Provide technical leadership, architecture reviews, and mentorship to Data Engineers, ensuring compliance with enterprise architecture principles and best practices supporting BI, advanced analytics, machine learning, and AI workloads.
• Collaborate with Enterprise Applications teams, business stakeholders, and implementation partners to identify architectural dependencies, risks, integration requirements, and delivery timelines
• Review solution designs and provide architectural guidance to project and operational teams, ensuring compliance with enterprise standards and alignment with the target-state architecture
• Depending on the assigned business domain, provide architecture leadership for either Finance & HR or Sales & Marketing data solutions, including relevant source-system integration, data modeling, data products, reporting, analytics, and AI requirements
• For SAP-centric domains, design and guide SAP data extraction and integration architectures across SAP ECC, SAP BW, SAP S/4HANA, and related SAP applications into cloud data platforms.
• Evaluate emerging technologies and industry best practices across Databricks, Microsoft Azure, SAP, and other cloud data platforms to enhance AEI’s BI, advanced analytics, machine learning, and AI-enabled data product capabilities

 

Qualifications

 

• Minimum 10+ years of experience in Data Management, Data & Analytics, and Enterprise Data Solutions, with at least 2+ years in a Data Architect role delivering large-scale enterprise data platforms, Big Data and AI initiatives.
• Strong understanding of Data Architecture principles, methodologies, frameworks, and industry best practices supporting BI, advanced analytics, machine learning, and AI workloads
• Strong hands-on experience with Databricks, SQL, Delta Lake, and Microsoft Azure Data Platform services, with PySpark experience preferred.
• Proven experience in Data Solution Design and Data Integration across enterprise platforms, including batch, streaming, API-based, & modern cloud data integration patterns.
• Extensive experience with Data Cataloging, Data Dictionaries, Metadata Management, Data Lineage, Data Lakes, Data Warehouses, Lakehouse Architectures, & modern Data Ingestion frameworks.
• Strong understanding of Data Governance, Data Quality, Security, Privacy, and Compliance, including governance of data consumed by AI/ML solutions.
• Depending on the assigned position and business domain, candidates should demonstrate strong experience in one of the following areas:

• Finance & HR: SAP ECC, SAP BW, SAP S/4HANA, SAP data models, SAP extraction frameworks, Open Hub, and working knowledge of ABAP.
• Sales & Marketing: Data Mesh, domain-driven data products, decentralized data ownership, PySpark, and modern cloud-based data integration and architecture patterns.

• Ability to translate complex business requirements into scalable, governed, reusable, and enterprise-aligned data architecture and data products.
• Excellent stakeholder management, leadership, communication, and problem-solving skills, with the ability to influence both technical and business teams

 

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