Sr Principal Data Architecture - Corporate Functions

**Job Description Summary** Sr Principal Data Architect is responsible for defining the data and information architecture vision, strategy, and roadmap across DISE and Corporate Functions (Legal, HR, Finance, Compliance, Security, middleware/hosting). This leader will drive enterprise data lake strategy, govern data across multiple domains, and enable secure, trusted analytics. The role partners with platform owners, cybersecurity, enterprise architecture, and product teams; it does not directly own infrastructure platforms. The role accelerates digital utilization by standardizing data models, establishing reusable patterns, ensuring high data quality, and enabling self-service analytics. Success improves Safety, Quality, Delivery, and Cost through better decisions, automation, and compliance-grade data. **Job Description** **Key Responsibilities** **Strategy and Architecture** + 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. **Data Management and Governance** + 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. **Delivery and Enablement** + 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. **Risk, Compliance, and Lifecycle** + 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. **Leadership and Stakeholder Management** + 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. **Required Qualifications / Experience** + 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 incomputer 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 + **Note** : Military experience is equivalent to professional experience **Eligibility Requirement:** + Legal authorization to work in the U.S. is required. We will not sponsor individuals for employment visas, now or in the future, for this job. The base pay range for this position is $176,000- $293,300. The specific pay offered may be influenced by a variety of factors, including the candidate's experience, education, and skill set. This position is also eligible for an annual discretionary bonus based on a percentage of your base salary/ commission based on the plan. This posting is expected to close on December 31, 2025. Healthcare benefits include medical, dental, vision, and prescription drug coverage; access to a Health Coach, a 24/7 nurse-based resource; and 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, as well as access to Fidelity resources and planning consultants. Other benefits include tuition assistance, adoption assistance, paid parental leave, disability insurance, life insurance, and paid time-off for vacation or illness. General Electric Company, Ropcor, Inc., their successors, and in some cases their affiliates, each sponsor certain employee benefit plans or programs ( _i.e_ ., is a "Sponsor"). Each Sponsor reserves the right to terminate, amend, suspend, replace, or modify its benefit plans and programs at any time and for any reason, in its sole discretion. No individual has a vested right to any benefit under a Sponsor's welfare benefit plan or program. This document does not create a contract of employment with any individual. **Qualifications:** + 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 + Experience defining data product standards, semantic layers (e.g., semantic modeling in BI/ML stacks), and self-service analytics enablement + Familiarity with MDM patterns and tools; reference data management at enterprise scale + Executive communication, influencing, and stakeholder management skills in a matrixed environment **Key Competencies:** + Enterprise Data Architecture + Data Lake Strategy + Data Modeling (canonical, dimensional, vault) + Data Governance, Quality, and Metadata + Security, Privacy, and Compliance + Pipeline Engineering, Observability, and Reliability + Financial acumen for cloud/data cost optimization + Product thinking and value delivery + Leadership, coaching, and cross-functional influence _This role requires access to U.S. export-controlled information. Therefore, employment will be contingent upon the ability to prove that you meet the status of a U.S. Person as one of the following: U.S. lawful permanent resident, U.S. Citizen, have been granted asylee or refugee status (i.e., a protected individual under the Immigration and Naturalization Act, 8 U.S.C. 1324b(a)(3))._ **Additional Information** GE Aerospace offers a great work environment, professional development, challenging careers, and competitive compensation. GE Aerospace is an Equal Opportunity Employer ( . Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. GE Aerospace will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable). **Relocation Assistance Provided:** No \#LI-Remote - This is a remote position GE Aerospace is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.