Senior Manager, SQL Development

Job Description

Job Description

Siepe is a fast-growing technology company headquartered in Dallas, TX – focused on helping investment managers turn complexity into clarity. We build software and data solutions that give hedge funds and financial services firms the visibility, speed, and confidence they need to make better decisions – faster. 

 

Our platform delivers a unified source of truth that empowers our clients with real-time, actionable insights. We don’t just serve the industry – we help modernize it! 

 

Siepe is profitable, privately held, and growing fast. We offer more than just competitive pay and great benefits—we offer the chance to do impactful work alongside sharp, driven teammates in a culture that rewards curiosity, initiative, and follow-through. Whether you come from finance, tech, or are charting a new path, you’ll find meaningful problems to solve, real ownership, and the momentum to grow your career with purpose. 

Siepe is seeking a Senior Manager, SQL Development who owns the technical delivery of client-driven solutions from technical review and estimation through execution and release capable of building and scaling the Professional Services engineering function. 

 

This role is ideal for someone who thrives in fast-moving, delivery-oriented environments, brings strong judgment to ambiguous problem spaces, and can turn complex, evolving client requirements into reliable, on-time execution. You will be accountable for how Professional Services work is scoped, designed, built, tested, and delivered—across custom reporting, data integrations, and data pipeline changes. 

 

A core expectation: you will standardize how AI is used across the Professional Services organization—creating repeatable, safe, high-leverage AI workflows that increase throughput without sacrificing correctness, performance, or client trust. 

What You’ll Be Doing

• Lead and mentor a team of engineers responsible for building custom, client-specific solutions; recruit and grow the team as Professional Services scales. 
• Own end-to-end technical delivery for Professional Services initiatives—from intake and feasibility review through development, validation, deployment, and post-release supportability. 
• Run technical review and estimation: validate feasibility, surface assumptions, identify dependencies, and produce credible schedules; establish “delivery contract” discipline (scope boundaries, acceptance criteria, change control).
• Drive delivery accountability to commitments, timelines, and quality standards; proactively manage risk and communicate tradeoffs early. 
• Partner tightly with Support and Client Specialization to get work done: establish an engagement model (intake → triage → prioritization → delivery → release windows); define escalation paths, SLAs, and operational handoffs.
• Build and oversee data-driven solutions—custom reports, exports, dashboards, performance/attribution reporting, and client-facing analytics. 
• Guide upstream data work when required (not “just reporting”): ingestion/landing adjustments, normalization, and curated reporting-ready outputs (data marts); vendor/custodian integration changes and schema drift handling.
• Institutionalize testing and validation for client deliverables: automated regression testing for report outputs (golden datasets, contract/schema checks, tolerance-based comparisons); data quality tests for pipeline changes (nulls, duplicates, cardinality, anomaly thresholds); repeatable pre-release validation harnesses so client outputs don’t silently regress.
• Standardize AI usage across Professional Services: create a PS “AI operating model” (prompt libraries, code review checklists, test generation patterns, estimation support); enforce human-in-the-loop controls for correctness, performance, and security; train engineers to use AI to accelerate spec-to-solution safely and consistently.
• Participate in client discussions as needed to clarify technical requirements and delivery constraints, maintaining a delivery-first mindset rather than account ownership. 
• Experience in hedge fund accounting, investment operations, or fund administration.
• Experience partnering closely with Business Analysts and implementation teams. 
• Experience scaling or operating engineering delivery within a Professional Services model. 

What You’ll Bring

• 8+ years of software/data engineering experience, including leadership of delivery teams. 
• Prior experience in consulting or professional services environments with direct accountability for delivery outcomes. 
• Demonstrated ownership of estimation accuracy, scheduling, and delivery commitments. 
• Deep experience building data-centric solutions, reporting systems, exports, and client-facing analytics. 
• Strong SQL Server background and ability to lead high-stakes database work in production environments. 
• Report engineering at scale — deterministic export/report procedures with stable schemas and predictable performance. 
• Metadata-driven reporting patterns — dynamic pivots, configuration-driven layouts, and controlled client-specific variants. 
• Advanced analytical SQL — window-function–driven periodization and attribution-style computations. 
• Semi-structured + vendor-driven inputs — JSON handling and APPLY patterns to translate external schemas into normalized structures. 
• Reconciliation and correctness validation — drift detection and load validation patterns that prevent “silent wrong” outputs. 
• Performance engineering — plan-aware query design, indexing-minded implementations, and pragmatic approaches for parameter sensitivity. 
• Production-grade safety — structured failure signaling and guardrails for operationally safe reruns. 
• Practical experience applying AI tools in engineering workflows—and the maturity to standardize their use across a team: reusable prompts and scaffolding patterns, AI-assisted test case generation and validation routines, consistent PR review and “what changed / who is impacted” discipline. 
• Deep experience with financial instruments reporting—specifically accrued income treatment, syndicated loan structures, and fund accounting reporting patterns

Must have current and ongoing authorization to work in the country of employment without the need for visa sponsorship, now or in the future. 

What We Offer

At Siepe, we don’t just hire talent, we build performance-driven teams empowered by transparency, curiosity, and continuous growth. Our Total Rewards go beyond the basics: they’re designed to reward bold thinking, support personal development, and create space for meaningful connection whether you're growing your career, your skill set, or your impact. 

Compensation & Financial Well-being:

- Competitive Compensation Packages, including Annual Performance-Based Bonuses 

- 401(k) Retirement Plan with company match to support your long-term financial goals 

- Employee Referral Program – earn rewards for helping us grow our talented team 

Health & Insurance Benefits

- Comprehensive Health, Dental, Vision, and Life Insurance 

- Flexible plans tailored to support individuals and families 

Learning & Career Growth

- Annual investment in your Learning & Development goals 

- On-the-job exposure to innovative technologies and financial strategies 

- Growth opportunities in a collaborative, fast-paced environment that values continuous improvement 

Time Off & Flexibility

- Flexible Time Off (FTO)  

- Flexibility to recharge and maintain work-life balance 

In-Office Perks & Culture

- Daily meal delivery allowance when working from the office 

- Monthly Celebrations and Quarterly Offsite Events 

- Annual Holiday Party to celebrate milestones and build team connection 

- A vibrant, inclusive office culture that blends fun with purpose 

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.