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Senior Databricks Data Engineer Jobs in Delaware

University of Delaware

Manager, Data Science

Newark, DE · On-site

Under the direction of the Senior Director of Institutional Research and Data Science, the Manager ... Data Architecture & Engineering: Design, implement, and evaluate scalable data models using SQL on ...

University of Delaware

Manager, Data Science

Newark, DE · On-site

Under the direction of the Senior Director of Institutional Research and Data Science, the Manager ... Data Architecture & Engineering: Design, implement, and evaluate scalable data models using SQL on ...

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All JobsDatabricks Data Engineer JobsSenior Databricks Data Engineer JobsSenior Databricks Data Engineer Jobs in Delaware

Senior Databricks Data Engineer information

How does a Senior Databricks Data Engineer typically collaborate with data scientists and analysts on large-scale projects?

A Senior Databricks Data Engineer works closely with data scientists and analysts to design, build, and optimize data pipelines that enable advanced analytics and machine learning initiatives. They often participate in cross-functional meetings to understand data requirements, translate them into scalable ETL processes, and ensure data quality and accessibility. Regular collaboration also involves troubleshooting data issues, optimizing Spark jobs for performance, and sharing best practices for data management. This close teamwork ensures that analytical teams have reliable, timely, and well-structured data to drive insights and decision-making.

What are the key skills and qualifications needed to thrive as a Senior Databricks Data Engineer, and why are they important?

To thrive as a Senior Databricks Data Engineer, you need advanced expertise in data engineering concepts, big data technologies, and proficiency in programming languages like Python or Scala, usually backed by a bachelor's degree in computer science or a related field. Familiarity with Databricks, Apache Spark, cloud platforms (Azure, AWS, or GCP), and certifications like Databricks Certified Data Engineer are typically required. Strong problem-solving skills, effective communication, and the ability to collaborate across teams distinguish top performers in this role. These skills are essential to efficiently design scalable data solutions, optimize data workflows, and drive business insights in complex data environments.

What is the difference between Senior Databricks Data Engineer vs Data Engineer?

AspectSenior Databricks Data EngineerData Engineer
CredentialsTypically requires experience with Databricks, Spark, cloud platforms, and often certifications like Databricks Certified Data Engineer AssociateRequires knowledge of data pipelines, SQL, ETL tools, and often cloud platform experience, but less specialized in Databricks
Work EnvironmentWorks primarily within Databricks environment, focusing on big data processing and analyticsWorks across various data tools and platforms, including traditional ETL and cloud services
Industry UsageCommon in organizations leveraging Databricks for big data analytics and machine learningWidely used across industries for general data pipeline development and data management

The main difference is that a Senior Databricks Data Engineer specializes in using Databricks and Spark for big data solutions, often requiring specific certifications and experience. A Data Engineer has a broader focus on data pipeline development across various tools and platforms, with less emphasis on Databricks-specific skills.

What are Senior Databricks Data Engineers?

Senior Databricks Data Engineers are experienced professionals who design, develop, and optimize large-scale data processing pipelines using the Databricks platform. They work with big data technologies like Apache Spark, Delta Lake, and cloud platforms such as Azure or AWS. Their responsibilities include building and maintaining ETL processes, ensuring data quality, and collaborating with data scientists and analysts to deliver reliable, high-performance data solutions. As senior engineers, they also mentor junior team members and contribute to architectural decisions.
What are the most commonly searched types of Databricks Data Engineer jobs in Delaware? The most popular types of Databricks Data Engineer jobs in Delaware are:
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Senior Databricks Data Engineer jobs near you
Vice President Product Manager - AI/ML Solutions

Vice President Product Manager - AI/ML Solutions

JPMorgan Chase & Co.

Wilmington, DE • On-site

$122K - $201K/yr

Full-time

Medical, Retirement

Re-posted 2 days ago

JPMorgan Chase & Co. rating

8.0

Company rating: 8.0 out of 10

Based on 491 frontline employees who took The Breakroom Quiz

58th of 149 rated banks

Job description


You enjoy shaping the future of product innovation as a core leader, driving value for customers, guiding successful launches, and exceeding expectations. Join our dynamic team and make a meaningful impact by delivering high-quality products that resonate with clients.
As a Product Manager in Data and Analytics, you are an integral part of the team that innovates new product offerings and leads the end-to-end product life cycle. As a core leader, you are responsible for acting as the voice of the customer and developing profitable products that provide customer value. Utilizing your deep understanding of how to get a product off the ground, you guide the successful launch of products, gather crucial feedback, and ensure top-tier client experiences. With a strong commitment to scalability, resiliency, and stability, you collaborate closely with cross-functional teams to deliver high-quality products that exceed customer expectations.
We are seeking a seasoned Product Manager to lead the strategy and delivery of a Databricks-based Model Experimentation Platform that enables scalable, secure, and compliant AI/ML development across Consumer & Community Banking. This role is critical to enabling scalable, secure, and compliant AI/ML workflows leveraging Databricks as the foundational technology. You will drive cross-functional collaboration, platform migrations, and product innovation to empower data scientists and engineers with best-in-class tools for feature engineering, model experimentation, and lifecycle management.
Job responsibilities
  • Develops a product strategy and product vision that delivers value to customers
  • Manages discovery efforts and market research to uncover customer solutions and integrate them into the product roadmap
  • Owns, maintains, and develops a product backlog that enables development to support the overall strategic roadmap and value proposition
  • Builds the framework and tracks the product's key success metrics such as cost, feature and functionality, risk posture, and reliability
  • Drives the migration and integration of Databricks-based solutions, identifying dependencies, mitigating risks, and coordinating with cross-functional teams to ensure seamless execution.
  • Collaborates with data science, engineering, architecture, and compliance teams to embed governance controls into product design and operations.
  • Champions observability, monitoring, and operational resilience for AI/ML model experimentation workflows to ensure platform stability and reliability.
  • Engages with internal customers and stakeholders to gather feedback, understand evolving needs, and translate them into actionable product enhancements.
  • Leads vendor evaluation and selection processes related to model experimentation, ensuring alignment with strategic and compliance requirements.
  • Communicates product vision, progress, and challenges transparently to senior leadership and critical partners, driving consensus and resource prioritization.
  • Fosters a culture of innovation, continuous improvement, and collaboration across product, engineering, and architecture teams.

Required qualifications, capabilities, and skills
  • 5+ years of experience or equivalent expertise in product management or a relevant domain area
  • 3+ years leading product strategy and delivery for a large-scale Databricks-based AI/ML platform (e.g., model experimentation, MLflow, feature engineering, governance, and platform operations).
  • Advanced knowledge of the product development life cycle, design, and data analytics
  • Proven ability to lead product life cycle activities including discovery, ideation, strategic development, requirements definition, and value management
  • Deep expertise in AI/ML platform capabilities, specifically feature stores, model experimentation, and lifecycle management.
  • Strong hands-on knowledge of Databricks and its ecosystem, including experience with platform migrations and integrations.
  • Proven track record of delivering enterprise-grade AI/ML solutions in highly regulated environments.
  • Demonstrated ability to lead cross-functional teams in matrixed organizations, managing dependencies and mitigating risks effectively.
  • Excellent communication skills with the ability to influence senior leadership and diverse stakeholders.
  • Strong strategic thinking and customer-centric mindset, with a focus on scalability, security, and operational excellence.
  • Experience with observability, monitoring, and governance frameworks for AI/ML workloads.

Preferred qualifications, capabilities, and skills
  • Demonstrated prior experience working in a highly matrixed, complex organization
  • Prior experience in financial services or similarly regulated industries.
  • Knowledge of compliance frameworks related to AI/ML and data security.
  • Strong understanding of market trends and emerging technologies in AI/ML infrastructure.

About Us
Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
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 our FAQs for more information about requesting an accommodation.
Equal Opportunity Employer/Disability/Veterans
About the Team
Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions - all while ranking first in customer satisfaction.

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