Senior Principal Data Architecture – Corporate Functions

11 hours ago

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GE Aerospace

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Aerospace • Energy • Engineering

GE Aerospace is a world-leading provider of jet and turboprop engines, as well as integrated systems for commercial, military, business, and general aviation aircraft. The company is dedicated to advancing sustainable aviation through the development of efficient aircraft engines compatible with alternative fuels and collaborates across the industry to promote innovation and safety in flight.

10,000+ employees

🚀 Aerospace

⚡ Energy

📋 Description

• Define and maintain the enterprise data and information architecture across Corporate Functions, spanning relational, non-relational, streaming, and file-based stores • Lead data lake strategy (including zone design and reusable data product patterns) with clear decision guardrails for cost, performance, and security • Establish reference architectures for data ingestion, transformation, serving, and interoperability across HR, Legal, Finance, Compliance, and Security • Set and govern standards for canonical/conformed data models, semantic layers, and reusable transformation patterns • Implement data governance with domain-aligned stewardship, cataloging, lineage, and metadata management • Drive data quality strategy: profiling, rules, monitoring, remediation playbooks, and service-level objectives • Define and enforce data security, privacy, and retention controls in partnership with Cybersecurity, Legal, and Compliance (e.g., role- and attribute-based access) • Guide master and reference data strategies and processes, including patterns for MDM and reference data management • Partner with engineering, architecture, analytics, and product teams to design and deliver end-to-end data products and use cases • Standardize orchestration and CI/CD practices for data pipelines to ensure reliability, observability, and cost transparency • Provide architectural oversight from design through stabilization, including technical reviews and readiness gates • Maintain technical data dictionaries and align with business glossaries and shared semantics • Ensure adherence to regulatory, contractual, and export control requirements across sensitive corporate data domains • Define data lifecycle management (tiering, archiving, purging) balancing compliance, performance, and cost • Lead incident response for data issues; drive root cause analysis and implementation of preventive controls • Influence senior stakeholders (including executives and c-suite leaders) on strategic data and technology investments and their implementation considerations • Represent the company externally by participating in relevant industry forums and leading discussions on data and software architecture • Introduce company-wide patterns and tools that improve collaboration, productivity, and community-building across data and engineering teams • Partner with executives and senior business leaders to guide technology decisions on data and software products • Coach and mentor team members on technical skills and leadership behaviors; foster a culture of reuse, standard work, and continuous improvement • Communicate architecture decisions, tradeoffs, and ROI clearly to executive and non-technical audiences

🎯 Requirements

• Bachelor’s degree from accredited university or college with minimum of 10 years of professional experience OR associate's degree with minimum of 13 years of professional experience OR High School Diploma with minimum of 15 years of professional experience • Minimum 8 years of professional experience in computer science, Information Systems, Engineering, Mathematics, or related field • 7 years designing and operating data lakes and data pipelines across multiple domains • Legal authorization to work in the U.S.; sponsorship not available • Experience in aerospace/defense, highly regulated industries, or mission-critical corporate functions (Legal, HR, Finance, Compliance, Security) • Proven expertise building and scaling data lake platforms and patterns on major clouds (AWS, Azure, or GCP) • Hands-on depth with MPP and distributed data processing • Strong data modeling across OLTP and OLAP; dimensional, data vault, and canonical modeling approaches • Mastery of ELT/ETL tooling and orchestration (e.g., dbt, Informatica, Talend, Airflow, Azure Data Factory, Glue) • Strong SQL and at least one programming language (Python/Scala/Java); experience with APIs, event-driven patterns, and files (JSON, Avro, Parquet) • Data governance tooling and practices (Collibra, Alation), metadata/lineage (OpenLineage, built-in catalogs), and data quality frameworks • Security and privacy by design: encryption, tokenization, masking, key management, IAM/RBAC/ABAC; exposure to SOC2, SOX, GDPR, CCPA, ITAR/EAR considerations • Executive communication, influencing, and stakeholder management skills in a matrixed environment

🏖️ Benefits

• Healthcare benefits include medical, dental, vision, and prescription drug coverage • Access to a Health Coach, a 24/7 nurse-based resource • Access to the Employee Assistance Program, providing 24/7 confidential assessment, counseling and referral services • Retirement benefits include the GE Retirement Savings Plan, a tax-advantaged 401(k) savings opportunity with company matching contributions and company retirement contributions • Access to Fidelity resources and planning consultants • Tuition assistance • Adoption assistance • Paid parental leave • Disability insurance • Life insurance • Paid time-off for vacation or illness