Sr. Manager, Data Engineering

#WeAreTradeStationRemote 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 WisconsinWho 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 workProvide direction, performance feedback, and career development opportunitiesFoster a culture of collaboration, innovation, and continuous learningData Infrastructure & Architecture:Manage the design and implementation of scalable and efficient data pipelines on DatabricksDefine and implement data architecture to support both batch and real-time data processingLeverage Databricks features (e.g., Delta Lake, Databricks SQL, MLflow) to optimize infrastructure for performance and costOwn, administer, and continuously optimize the end-to-end Databricks environment, including workspace administration, cluster and compute management, Unity Catalog governance, and cost/performance monitoringBuild and operationalize Databricks AI capabilities (Mosaic AI, model serving, and generative AI/agent workflows) to power intelligent, data-driven productsDesign, deploy, and maintain AI/BI Genie spaces and Genie-powered apps that enable business users to explore data and get answers through natural-language conversationSecure and Efficient Data Handling:Implement and maintain data governance frameworks to ensure data integrity, security, and complianceCollaboration and Business Impact:Partner with data scientists, analysts, and business teams to enable data-driven decision-makingWork closely with business and product management to define, prioritize, and own both the technical and business data roadmap, aligning platform investments with organizational strategyTranslate business needs into technical requirements and scalable data solutionsCommunicate technical plans, challenges, and achievements to stakeholders at all levelsProject Management:Prioritize and manage multiple data engineering projects, ensuring timely deliveryDefine success metrics and continuously track progress to achieve desired outcomesInnovation & 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 solutionsThe Skills You Bring:Proven experience running projects and managing direct reportsKnowledge of data governance practices, business and technology issues related to managing enterprise information assets, and approaches related to data protectionKnowledge of industry-leading data quality and data protection management practicesStrong analytical, technical, oral, and written communication skillsStrong knowledge of database design, data warehousing, and ETL processesAbility to present projects to technical and non-technical staffTeam player who can work flexible hoursExpertise 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 SQLExperience with cloud platforms (AWS, Azure, or GCP) and associated data servicesStrong understanding of ETL processes, data pipelines, and real-time data streamingKnowledge of data modeling, database design (relational and non-relational), and optimization techniquesComfortable with writing scripts and using command-line interfaces preferredKnowledge of full-stack monitoring concepts and tooling from code to system resources preferredProgramming Skills – knowledge of statistical programming languages like R, and Python and database query languages like SQL preferredData Wrangling – proficiency in handling imperfections in data preferredStrong software engineering background preferredExperience in Databricks AI capabilities and AI/BI Genie solutions into a production environment preferredPrior experience owning a data platform roadmap in partnership with product management in a financial services or brokerage environment preferredMinimum Qualifications:Bachelor’s degree in computer science/Engineering or equivalent work experienceMust have 5+ years of technology industry experienceDesired Qualifications:Databricks certification(s), such as Databricks Certified Data Engineer Professional or a Databricks Generative AI / Machine Learning certification7+ years of technology industry experience with prior people-management experience leading a data engineering teamWhat We Offer:Collaborative work environmentCompetitive SalariesYearly bonusComprehensive benefits for you and your family starting Day 1Unlimited Paid Time OffFlexible working environmentTradeStation Account employee benefits, as well as full access to trading education materialsPay 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.