Senior Manager, SQL ETL & Data Integrations

Siepe; Dallas (TX); On-site; USD 140,000 - 200,000; Full time

Benefits offered by this job

Annual bonus

401(k) match

Health insurance

Dental & Vision

Life Insurance

Flexible PTO

Meal allowance

Office events

Job summary

Siepe is seeking an engineering leader to own the data integration layer between Solvas, Middle Office systems, and client-facing Portal, plus third-party systems. You will build and operate reliable data pipelines, ingesting, normalizing, and versioning data to support downstream workflows and client experiences.

This role requires deep T-SQL expertise and strong ETL fundamentals, with a focus on scalable, observable data platforms and delivery discipline across the organization.

Qualifications

• 8+ years of software engineering experience with leadership
• Experience managing delivery teams and mentoring
• Experience in consulting or professional services environments with delivery accountability
• Demonstrated ownership of estimation accuracy, scheduling, and delivery commitments
• Advanced T-SQL skills with data modeling, transformation, and performance to scale for high-volume applications
• Experience building data-centric solutions, dashboards, and reporting systems
• Familiarity with Databricks, Snowflake, or similar cloud data platforms
• Experience applying AI tools or techniques within engineering workflows
• Experience with data observability practices (freshness checks, anomaly detection, reconciliation)

Responsibilities

• 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
• Design and expose data access APIs and platform endpoints enabling clients' internal applications to consume Siepe data securely and at scale
• 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
• Partner with our Database Administration team to drive performance tuning across SQL Server objects 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 to improve scalability or resiliency
• Leverage AI-enabled tools to accelerate development, improve test coverage, and reduce cycle time without sacrificing correctness

Skills

Leadership

Delivery management

T-SQL

Data modeling

ETL/ELT

Databricks

Snowflake

API design

AI in engineering

Data observability

Tools

Databricks

Snowflake

Job description

Siepe is seeking an engineering leader to own the data integration layer between Solvas, Middle Office systems, and client-facing Portal, plus third-party systems. You will build and operate reliable data pipelines, ingesting, normalizing, and versioning data to support downstream workflows and client experiences.

This role requires deep T-SQL expertise and strong ETL fundamentals, with a focus on scalable, observable data platforms and delivery discipline across the organization.