[Hiring] Senior Manager, Data Engineering @TradeStation

Role 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. This position combines technical expertise with strategic oversight, enabling the team to deliver scalable, high-performing data solutions aligned with organizational goals.

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
  • Build and operationalize Databricks AI capabilities to power intelligent, data-driven products
  • Design, deploy, and maintain AI/BI Genie spaces and Genie-powered apps
• 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
  • 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 and AI
  • Establish and enforce best practices for coding, testing, and deploying data engineering solutions

Qualifications

• Proven experience running projects and managing direct reports
• Knowledge of data governance practices and data protection
• 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
• Hands-on experience with Databricks AI
• Experience building and deploying AI/BI Genie spaces and Genie apps
• Experience administering and managing a Databricks environment
• Proficiency in programming languages such as Python, Scala, or SQL
• Experience with cloud platforms (AWS, Azure, or GCP)
• Strong understanding of ETL processes and data pipelines
• Knowledge of data modeling and optimization techniques
• Comfortable with writing scripts and using command-line interfaces
• Knowledge of full-stack monitoring concepts and tooling preferred
• Programming Skills – knowledge of statistical programming languages like R, and Python
• Data Wrangling – proficiency in handling imperfections in data preferred
• Strong software engineering background preferred
• Prior experience owning a data platform roadmap in a financial services or brokerage environment preferred

Requirements

• Bachelor’s degree in computer science/Engineering or equivalent work experience
• Must have 5+ years of technology industry experience

Desired Qualifications

• Databricks certification(s)
• 7+ years of technology industry experience with prior people-management experience

Benefits

• 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
• Pay Range (US) $168-187K