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# Sr. Manager, Data Engineering

- **Company:** TRADESTATION CRYPTO, INC.
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Salary:** $168,000.0 - $187,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Business Analytics Applications, Data Analysis, Microsoft Azure, Software as a Service, Cloud Computing, Computer Programming, Data as a Services, Data Architecture, Information Engineering, Data Governance, Data Infrastructure, Data Integrity, Extract Transform Load (ETL), Data Systems, Data Warehousing, Database Design, Database Queries, R (Programming Language), Python (Programming Language), Standard Sql, Software Engineering, SQL Databases, Data Processing, Scripting, Cloud Platform System, Apache Spark, Generative AI, Data Lakes, Information Technology, Statistics Packages, Optimization Algorithms, Data Analytics, Performance Monitor, Machine Learning Operations, Stream Processing, Data Pipelines, Databricks
- **Published:** August 10, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=e8cff0a5fa4a6f62

## About the Role

* Proven experience running projects and managing direct reports
 * Knowledge of data governance practices, business and technology issues related to managing enterprise information assets, and approaches related to data protection
 * Knowledge of industry-leading data quality and data protection management practices
 * Strong analytical, technical, oral, and written communication skills
 * Strong knowledge of database design, data warehousing, and ETL processes
 * Ability to present projects to technical and non-technical staff
 * Team player who can work flexible hours
 * Expertise in Databricks and its ecosystem (Delta Lake, Spark, Databricks SQL, MLflow, etc.).
 * Hands-on experience with Databricks AI, including Mosaic AI, model serving, and generative AI/agent solutions.
 * Experience building and deploying AI/BI Genie spaces and Genie apps to deliver natural-language, self-service analytics to business users.
 * Experience administering and managing a Databricks environment, including workspace/cluster management, Unity Catalog, security, and cost governance.
 * Proficiency in programming languages such as Python, Scala, or SQL
 * Experience with cloud platforms (AWS, Azure, or GCP) and associated data services
 * Strong understanding of ETL processes, data pipelines, and real-time data streaming
 * Knowledge of data modeling, database design (relational and non-relational), and optimization techniques
 * Comfortable with writing scripts and using command-line interfaces preferred
 * Knowledge of full-stack monitoring concepts and tooling from code to system resources preferred
 * Programming Skills - knowledge of statistical programming languages like R, and Python and database query languages like SQL preferred
 * Data Wrangling - proficiency in handling imperfections in data preferred
 * Strong software engineering background preferred
 * Experience in Databricks AI capabilities and AI/BI Genie solutions into a production environment preferred
 * Prior experience owning a data platform roadmap in partnership with product management in a financial services or brokerage environment preferred, * Bachelor's degree in computer science/Engineering or equivalent work experience
 * Must have 5+ years of technology industry experience, * 7+ years of technology industry experience with prior people-management experience leading a data engineering team

## Description

We are looking for a Senior Manager of Data Engineering who will play a pivotal role in our organization, leading the Data Engineering team and ensuring the secure, efficient, and seamless handling of our organization's data assets. With Databricks as our primary SaaS platform, this role owns and manages our end-to-end Databricks environment and will focus on designing and implementing robust data infrastructure including Databricks AI capabilities and AI/BI Genie apps to support business operations, analytics, and innovation. Partnering closely with business and product management, the Senior Manager will help define and drive both the technical and business data roadmap. The successful candidate will possess strong leadership skills, deep knowledge of data and AI infrastructure, and a drive to enhance the data-driven nature of our business. This position combines technical expertise with strategic oversight, enabling the team to deliver scalable, high-performing data solutions aligned
with organizational goals.
Bring your passion and skills to solve interesting problems and have an immediate impact. Join us!
What You'll Be Doing:
Leadership & Team Management:

 * Manage, mentor, and inspire a team of skilled data engineers to deliver high-quality work
 * Provide direction, performance feedback, and career development opportunities
 * Foster a culture of collaboration, innovation, and continuous learning

Data Infrastructure & Architecture:

 * Manage the design and implementation of scalable and efficient data pipelines on Databricks
 * Define and implement data architecture to support both batch and real-time data processing
 * Leverage Databricks features (e.g., Delta Lake, Databricks SQL, MLflow) to optimize infrastructure for performance and cost
 * Own, administer, and continuously optimize the end-to-end Databricks environment, including workspace administration, cluster and compute management, Unity Catalog governance, and cost/performance monitoring
 * Build and operationalize Databricks AI capabilities (Mosaic AI, model serving, and generative AI/agent workflows) to power intelligent, data-driven products
 * Design, deploy, and maintain AI/BI Genie spaces and Genie-powered apps that enable business users to explore data and get answers through natural-language conversation

Secure and Efficient Data Handling:

 * Implement and maintain data governance frameworks to ensure data integrity, security, and compliance
 * Collaboration and Business Impact:
 * Partner with data scientists, analysts, and business teams to enable data-driven decision-making
 * Work closely with business and product management to define, prioritize, and own both the technical and business data roadmap, aligning platform investments with organizational strategy
 * Translate business needs into technical requirements and scalable data solutions
 * Communicate technical plans, challenges, and achievements to stakeholders at all levels

Project Management:

 * Prioritize and manage multiple data engineering projects, ensuring timely delivery
 * Define success metrics and continuously track progress to achieve desired outcomes

Innovation & Best Practices:

 * Stay informed on industry trends, particularly advancements in Databricks, Databricks AI (Mosaic AI, AI/BI Genie), generative AI, and cloud-based data platforms.
 * Establish and enforce best practices for coding, testing, and deploying data engineering solutions, * Databricks certification(s), such as Databricks Certified Data Engineer Professional or a Databricks Generative AI / Machine Learning certification


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