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Moog

Designs precision motion control systems

Data Solutions Manager

Data EngineeringConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • A Bachelor's degree in Computer Science, Information Systems, Engineering, a related field, or a combination of education and equivalent experience.
  • At least seven years of experience in data roles, including at least five years leading technical data teams in data engineering, warehousing, or platform delivery, with hiring, coaching, performance management, and vendor oversight.
  • Demonstrated experience building data architecture, strategy, and engineering principles from both hands-on and leadership perspectives.
  • Strong familiarity with enterprise data warehousing, including dimensional and semantic modeling, ETL, SQL performance tuning, and warehouse platforms such as SAP BW, Progress, Snowflake, Synapse, or similar.
  • Hands-on experience building and delivering solutions in Databricks, including working knowledge of Delta Lake, Databricks Workflows, Genie spaces, and Unity Catalog controls.
  • Strong command of SQL, Spark, Python, and modern ELT and orchestration tooling, with an automation-first, reusable-framework mindset.
  • Familiarity with data contracts, including producer-consumer accountability, schema evolution standards, data quality requirements, and platform governance controls.
  • Experience managing data migration efforts, including extraction, cleansing, mapping, loading, and reconciliation.
  • Excellent communication and stakeholder management across technology, business process, finance, and program teams, including communication with senior leadership.
  • Ability to work effectively with global, remote, and diverse teams.
  • Domestic and international travel may be required.

Responsibilities

  • Oversee the Industrial Group data solutions team and help set direction for data architecture, data engineering, and data solution delivery.
  • Develop and maintain the target-state technical data architecture for the Industrial Group, spanning ingestion, bronze/silver/gold lakehouse modeling, semantic layers, and business intelligence enablement, aligned with enterprise data governance and standards.
  • Define and sequence a multi-year data solutions roadmap, balancing business value, cost, risk, and solution reuse to deliver on business needs.
  • Own the reliability and performance of the current Industrial Group data warehouse and analytics platforms, leading employees and contractors in incident response, change deployment, business continuity, and sustainment.
  • Lead migration onto the corporate Databricks lakehouse environment for warehousing and analytics, partnering with the corporate Data Management team to ensure architectural alignment.
  • Partner with the Data Governance team to document existing data warehouse business logic, including multi-ERP harmonization, general ledger calculations, and finance key performance indicators, for evaluation and disposition as part of the migration program.
  • Translate the target-state architecture into an executable plan with milestones, decision gates, and retirement criteria, with validation before decommissioning legacy assets.
  • Manage ERP data migration teams executing data cleansing, mapping, and transformation across multiple SAP ECC and legacy ERP systems as part of the broader ERP transformation program.
  • Foster a high-performing data solutions team by establishing talent and development plans to source, hire, train, and reskill data engineers to ensure the capacity and skills needed for the data journey.
  • Establish engineering standards for the Industrial Group data function, including data quality, freshness, lineage, continuous integration and continuous delivery, and documentation, to meet stakeholder requirements and enterprise data standards.
  • Advise business and technology leaders across Moog on data best practices, understand business needs, translate them into actionable solutions, and maintain collaboration and clear communication.

Desired Qualifications

  • Experience with data migration in a SAP ECC and/or S/4HANA context.

About the Company

Moog

Designs precision motion control systems

Moog designs and builds precision motion control products for aerospace, defense, industrial, and medical sectors. Its core technology is electro-hydraulic servovalves that translate small electrical signals into precise, powerful motion, enabling flight control and guided missile systems; modern products extend into fiber optics and other motion control components. The company differentiates itself through its long heritage of aerospace-grade, mission-critical components, a large installed base in fighter jets and missiles, and growth via strategic acquisitions (e.g., COTSWORKS) to broaden capabilities. Moog’s goal is to provide reliable, high-performance motion control solutions that support complex aerospace and defense systems and expand across industries worldwide.

Company size
5,001-10,000
Company stage
IPO
Headquarters
Town of Elma, New York
Founded
1951

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