Who We Are:

TradeStation is an online brokerage firm seeking to level the playing field for self-directed investors and traders, empowering them to claim their financial edge.  At TradeStation, we're continuously pushing the boundaries of what's possible, encouraging out-of-the-box thinking and a relentless search for innovation.

What We Are Looking For:

The Senior Manager of Data Engineering 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 will focus on designing and implementing robust data infrastructure to support business operations, analytics, and innovation. The successful candidate will possess strong leadership skills, deep knowledge of data 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

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
• 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 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.).
• 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

Minimum Qualifications:

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

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

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