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

Responsibilities

• Create AEI's Data Architecture vision covering all Data & Analytics components, enterprise-wide baseline and target data architectures.


• Support in Data & Analytics solutions and product development as Data architect in terms of Data architecture, standards, best practices, assets and frameworks.


• Responsible for the design and implementation of AEI’s enterprise data architecture, ensuring current and future business data and analytical needs.


• 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.


• To drive consistent data standards and approaches, building an environment that encourages continuous improvement and innovation.


• 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.


• 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.


• As Enterprise Data Architect, the candidate need the own the following (not limited to) deliverables

• AEI’s Baseline and Target state Data architecture


• Catalogue of data sources and systems


• Data Architecture Artifacts and Design documents


• Data Architecture standards, principles and guidelines


• Data Lineage through Systems

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 analytics best practices


• Data Solutions Design, Data Integration


• Data Governance, Security, Privacy and Compliance requirements for an enterprise


• 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


• Solutions Modeling, Data Modeling – Logical & Physical


• Analytical, Structured thinker, Effective Leadership and Communication


• Background in ERP, Manufacturing, Engineering and Supply Chain is preferable


• Azure, Databricks, On prem solutions ( MS BI Suite ) preferable

Work Environment:

• Works in a standard office environment utilizing standard office equipment.


• Works in team and individual environments.


• May work weekends and overtime when necessary.


• Ability to travel as needed, both domestic and international