Sr. Manager, Data Engineering
TradeStation Sr. Manager, Data Engineering
Summary
Leads TradeStation's data engineering team, owning the end-to-end Databricks platform — building scalable batch/real-time pipelines, Databricks AI (Mosaic AI, AI/BI Genie apps), and data governance — while partnering with business and product teams on the technical and business data roadmap. Remote US role with state residency restrictions.
#WeAreTradeStation
Remote Position - must reside Florida, Texas, Illinois, New York, New Jersey, Alabama, Arizona, Arkansas, Colorado, Connecticut, Delaware, Georgia, Indiana, Kansas, Massachusetts, Missouri, North Carolina, Tennessee, Utah or Wisconsin
Who We Are:
TradeStation is the home of those born to trade. As an online brokerage firm and trading ecosystem, we are focused on delivering the ultimate trading experience for active traders and institutions. We continuously push the boundaries of what's possible, encourage out-of-the-box thinking, and relentlessly search for like-minded innovators.
At TradeStation, we are building an AI-First culture. We expect team members to embrace AI as a core part of their daily workflow, whether that’s using AI to accelerate development, enhance decision-making, improve client outcomes, or streamline internal processes. We hire, grow, and promote people who can harness AI responsibly and creatively. We treat AI as a partner in problem-solving, not just a tool; following our governance standards to ensure AI is used ethically, securely, and transparently. If you join us, you’re joining a culture where AI is how we work.
Are you ready to make yourself at home?
What We Are Looking For:
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
The Skills You Bring:
- 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
Minimum Qualifications:
- Bachelor’s degree in computer science/Engineering or equivalent work experience
- Must have 5+ years of technology industry experience
Desired Qualifications:
- Databricks certification(s), such as Databricks Certified Data Engineer Professional or a Databricks Generative AI / Machine Learning certification
- 7+ years of technology industry experience with prior people-management experience leading a data engineering team
What We Offer:
- Collaborative work environment
- Competitive Salaries
- Yearly bonus
- Comprehensive benefits for you and your family starting Day 1
- Unlimited Paid Time Off
- Flexible working environment
- TradeStation Account employee benefits, as well as full access to trading education materials
- Pay Range (US) $168-187K (Countries outside of the US have differing ranges in accordance with local labor markets)
TradeStation provides equal employment opportunities to current and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, sexual orientation, age, pregnancy, disability, handicap, citizenship, veteran or marital status, or any other legally recognized status entitled to protection under federal, state, or local anti-discrimination laws.
#LI-Remote