Own the enterprise data architecture roadmap managed by Woodward's IT Data Warehousing team.
Set architectural vision and standards.
Lead complex, high-risk projects end-to-end.
Serve as the primary technical authority for data strategy across Woodward's enterprise data platforms.
Partner with IT and business leaders to align data platform investments with organizational goals.
Ensure the Data Warehousing team is delivering data solutions that meet the needs of downstream users.
Design future-state data architectures, considering industry trends, M&A scenarios, available tools, and the long-term impacts of technology decisions.
Keep pace with new technology and changes in the ecosystem of tools used by the Data Warehousing team.
Assess add-ins, tools, new features, and AI implications.
Lead the implementation of and migration to new data platforms as required.
Own high-level integration patterns and map how systems relate across the data landscape (ERPs, other sources, analytical tools, etc.).
Define and enforce S/4HANA-related architecture and standards.
Triage new data requests, identifying where data lives and whether the requested data is accessible, and define how it will be provided to business users.
Translate business needs into high-level data requirements, producing "pseudo-technical" requirements for Data Engineers to execute on.
Provide project management and leadership for large initiatives within the Data Warehousing team and broader business, including resource allocation, planning, and delivery oversight.
Own stakeholder communication and engagement for both technical and non-technical audiences in the business and IT.
Advise leadership on long-term architectural risks and opportunities.
Mentor other members of the Data Warehousing team, contributing to the overall growth and upskilling of the team.

Requirements

Bachelor’s Degree in Computer Science, Information Systems, Business Analytics, or related discipline is preferred.
10+ years in data architecture, data engineering, or similar roles supporting enterprise analytics.
2+ years as a technical lead, manager, or similar role.
2+ years as a project manager, program manager, or similar role.
SQL
Python/PySpark
Experience with ETL/ELT using Azure Synapse pipelines, Azure Data Factory, or comparable tools (AWS Glue, Google Cloud Dataflow, Apache Airflow, etc.).
Advanced knowledge of SAP S/4HANA data structures and common data models.
Advanced understanding of data warehouses (cloud or on-prem), relational databases and data modeling concepts.
Experience with connecting to, extracting and loading data from REST APIs preferred.
Ability to see the big picture, keep pace with changing technology, and develop future-state architectures.
Experience leading large, cross-functional projects and delivering on key initiatives.
Experience with data governance strategy and tools preferred.
Ability to communicate clearly and effectively, leadership skills, mentoring capability, team player, continuous learner.

Benefits

All members included in annual cash bonus opportunity.
401(k) match (4.5%)
Annual Woodward stock contribution (5%)
Tuition reimbursement and Training/Professional Development opportunities for all members
12 paid holidays, including floating holidays.
Industry leading medical, dental, and vision Insurance upon date of hire
Vacation / Sick Time / Vacation Buy-up / Short Term Disability / Bereavement leave.
Paid parental leave.
Adoption Assistance
Employee Assistance Program, including mental health benefits.
Member Life & AD&D / Long Term Disability / Member Optional Life
Member referral bonus
Spouse / Child Optional Life / Optional AD&D / Healthcare and Dependent Care Flexible Spending
Voluntary benefits, including: Home / Auto Insurance discounts Whole Life Insurance / Critical Illness Insurance / Legal Assistance / Military Leave

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data architecturedata engineeringSQLPythonPySparkETLELTdata modelingdata governancedata warehousing

Soft Skills

leadershipproject managementcommunicationmentoringteam playerstrategic thinkingproblem solvingstakeholder engagementresource allocationcontinuous learning