Manager, Data Engineering-IT

Manager, Data Engineering IT

Textron Aviation has been inspiring the journey of flight for nine decades through the iconic and beloved Cessna and Beechcraft brands  We are passionate advocates of aviation, empowering people with the freedom of flight  As you join our legacy as a global leader in private aviation, you'll have opportunities to try new fields, expand your skills and knowledge, stretch your abilities, and build your career  We provide a competitive and extensive total rewards package that includes pay and innovative benefits to support you and your family members - now and in the future, beginning day one  Your success is our success

Description

JOB SUMMARY:

The Manager - Data Engineering leads a team responsible for designing, building, and operating trusted, scalable data products that enable reporting, analytics, AI, and operational use cases  This role ensures that data pipelines, data models, and platform capabilities are delivered with strong engineering practices  automation, testing, observability, and security  and are aligned to business priorities  The manager promotes adoption of modern platforms such as Microsoft Fabric and Azure data services and fosters a collaborative environment that emphasizes technical excellence, continuous learning, and cross functional engagement

The Manager - Data Engineering is an IT leadership role focused on building and continuously improving a mature data platform and reusable data products that power enterprise reporting and self service analytics, enable AI/ML solutions, and support operational decision making  This manager partners with IT and business stakeholders to define data product roadmaps, establish engineering standards, and ensure reliable deployment and performance across environments

At Textron Aviation, we are building a community of Data & Analytics professionals with a shared commitment to excellence, stewardship, and strategic impact  This manager not only collaborates with peers across the organization but also plays a pivotal role in shaping analytics strategy, influencing enterprise decision making, and championing data governance  Through elevated stewardship, the manager ensures that analytics efforts are aligned with long term business goals and global standards

JOB RESPONSIBILITIES:

* Lead the design, development, and deployment of data products  pipelines, curated datasets, and semantic layers  that enable scalable reporting and analytics

* Partner with stakeholders to translate business needs into data product roadmaps, platform capabilities, and prioritized engineering backlogs

* Establish and enforce engineering best practices for data ingestion, transformation, testing, version control, CI/CD, and release management

* Manage and mentor data engineers; build team capability across data modeling, cloud services, automation, and operational support

* Ensure data quality, documentation, and governance are embedded in delivery  metadata, lineage, access controls, and stewardship coordination  

* Operate and optimize the data platform to meet reliability, performance, and cost targets  monitoring, incident response, capacity planning, and cost management  

Qualifications

EDUCATION/

EXPERIENCE:

* Bachelor's degree required in MIS, Computer Science, Data Analytics, Engineering, Mathematics, or related field

* Master's degree preferred

* Minimum 7 years of relevant experience

* Experience with SQL and Python, plus modern data engineering platforms/services  e g , Microsoft Fabric, Azure Data Factory, Synapse, Databricks, or equivalent  required

* Experience leading data engineering initiatives from concept to production, including stakeholder engagement, delivery planning, and mentoring engineers/analysts required

QUALIFICATONS:

* Strong written and verbal communication skills

* Experience with Microsoft Office including Excel and Power Point

* Practical application experience with data engineering tools and languages such as SQL, Python, Spark, and orchestration frameworks  e g , Azure Data Factory or equivalent

* Practical application experience with data architecture patterns and storage technologies  data lakes/lakehouse, warehouses, relational databases  and developing curated, reusable datasets

* Preferred experience building and operating ETL/ELT pipelines  batch and/or streaming , including data modeling, automated testing, monitoring, and incident triage

* Ability to communicate data architecture and data product concepts to a broad audience and partner effectively with reporting/analytics teams on downstream enablement

* Desire and ability to learn and leverage new software, tools, and processes in a self learning environment

* Preferred experience managing and optimizing cloud/IT tooling costs  e g , cost awareness, chargeback/showback concepts, and right sizing  while meeting performance and reliability needs

* Preferred familiarity with AI/ML enablement patterns  e g , feature ready datasets, governed access, and integration with…