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Senior Director of Software Engineering
- Columbus, Ohio, United States
- Columbus, Ohio, United States
À propos
Define and drive the enterprise data platform vision and roadmap aligned to business priorities and product strategy Lead data engineering delivery to build reliable, scalable pipelines and curated data products leveraging Databricks lakehouse capabilities Establish and evolve a data governance operating model across data quality, lineage, metadata management, stewardship, cataloging, and lifecycle management Implement and scale fine‑grained, policy‑based data access controls using Immuta to enable secure and compliant data sharing Build platform foundations for machine learning experimentation, deployment, and monitoring, and embed responsible AI practices into delivery Drive adoption of agent‑based workflows that automate analytics, operations, and decision support through orchestration patterns and reusable capabilities Partner with Security, Legal, Privacy, and Risk to meet regulatory and control requirements, as applicable to the platform and its use cases Define and manage service level objectives, financial management practices, and cost/performance optimization for cloud data workloads Develop executive‑level metrics and communicate platform health, value delivery, and risk posture to senior leadership Attract, develop, mentor, and retain high‑performing leaders and teams across platform engineering, governance, and AI engineering Required qualifications, capabilities and skills
Formal training or certification on software engineering concepts and 10+ years applied experience 5+ years of experience leading technologists to manage, anticipate and solve complex technical items within your domain of expertise Demonstrated senior leadership experience building and operating enterprise‑scale data platforms and data product ecosystems Deep expertise with modern lakehouse and cloud data platform architectures, including Databricks at scale Experience establishing and operating enterprise data governance capabilities, including data quality, lineage, metadata, and stewardship practices Hands‑on experience implementing policy‑driven data access controls and secure data sharing, including Immuta Experience enabling production machine learning capabilities, including model deployment, monitoring, and governance controls Proven ability to operationalize automated or agent‑based workflow patterns in enterprise environments Strong knowledge of data architecture, distributed processing, data modeling, and platform reliability engineering Executive‑level communication skills with the ability to influence cross‑functional roadmaps and senior stakeholders Preferred qualifications, capabilities and skills
Experience with Unity Catalog, Delta Lake, and modern operating models such as data mesh and data products Experience in regulated or highly governed environments with complex risk and control requirements Experience leading global, distributed engineering organizations Master’s degree in computer science, engineering, or a related field We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit FAQs for more information about requesting an accommodation. JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans.
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Compétences linguistiques
- English
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