Lead SQL Developer
Team: SQL Development
Location: Dallas, TX (HQ)
Commitment: Full-time
Workplace Type: onsite
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.
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