What You’ll Be Doing
- Lead and mentor engineers responsible for data integrations and warehouse-quality data pipelines.
- Own end-to-end technical delivery for Integrations work, from scoping and estimation through production support.
- Design and evolve ETL/ELT pipelines for loading, normalizing, and versioning data across Solvas, Middle Office, and the Portal.
- Establish standards for data consistency, concurrency control, and integrity (transactions, isolation levels, idempotency, reconciliation).
- Define and enforce data quality controls: validation, audit trails, lineage, and exception handling.
- Drive performance tuning across SQL Server objects (stored procedures, functions, indexing strategies, partitioning) used by pipelines and consumers.
- Partner with product, operations, and client-facing teams to translate integration requirements into executable delivery plans and SLAs.
- Build operational readiness: monitoring/alerting, runbooks, incident response, and continuous improvement for integration reliability.
- Evaluate and apply modern data platform patterns and tooling (e.g., Databricks, Snowflake, CDC/streaming) where they improve scalability or resiliency.
- Leverage AI-enabled tools to accelerate development, improve test coverage, and reduce cycle time without sacrificing correctness.
What You’ll Bring
- 8+ years of software 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.
- Advanced T-SQL skills with strong experience in data modeling, transformation, and performance tuning.
- Experience building data-centric solutions, dashboards, and reporting systems.
- Solid understanding of modern software development practices, architectures, and integration patterns.
- Experience designing or supporting integrations with third-party or client-owned systems, including APIs, data feeds, cloud data platforms, or enterprise tools.
- Practical experience applying AI tools or techniques within engineering workflows or solution delivery.
- Experience with Databricks, Snowflake, or similar cloud data platforms.
- Financial services experience (structured finance, loan operations, middle office data workflows).
- Experience implementing data observability practices (freshness checks, anomaly detection, automated reconciliation).
- Must have current and ongoing authorization to work in the country of employment without the need for visa sponsorship, now or in the future.
Top Skills
What We Do
Siepe is a public cloud managed services and data analytics provider designed specifically to address the technology needs of asset managers. We were built from the ground-up by experienced industry practitioners, using modular technology and flexible, well-formed data solutions. So whether you use our services as stand-alone or quickly integrate them with third parties, you can trust us to seamlessly apply institutional and regulatory best practices across your business.
Siepe's intuitive managed platform enables you to leverage data as an asset, creating order from disparate data sources, mitigating operational risk through investment transparency and optimizing efficiency through process visualization – allowing fund managers to discover strategic and actionable insights.
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