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Software Engineer IV - Data Platforms

Full-time

ALSAC

Role Description

As a Software Engineer IV on the BIDE platform, you’ll serve as a technical leader for the systems that power ALSAC’s enterprise analytics ecosystem. This role offers true end‑to‑end ownership—from architectural design through production stability—on a mission‑critical BI platform that supports decision‑making at scale.

You will lead the design, build, and evolution of complex, high‑scale data and software systems while partnering closely with Enterprise Architecture, Product, and Engineering teams. This role is ideal for someone who thrives on technical authority, architectural influence, and operational excellence, and who enjoys balancing delivery, reliability, and long‑term platform health.

What You’ll Do

  • Technical Leadership & Architecture
    • Serve as the technical authority for platform‑level systems, owning architecture, data flows, and technical standards across products.
    • Design, build, and maintain robust technical processes spanning multiple technologies, programming languages, and database structures.
    • Partner closely with Enterprise Architects to ensure alignment between architecture standards, technical solutions, and business outcomes.
    • Lead technical design reviews and make informed trade‑off decisions balancing speed, performance, reliability, data integrity, and maintainability.
  • Portfolio Ownership & Prioritization
    • Own technical oversight for a portfolio of products and services, helping prioritize work across competing demands including delivery commitments, production support, technical debt, and platform modernization.
    • Influence where engineering effort is invested to maximize organizational value.
  • End‑to‑End Ownership & Operational Excellence
    • Be accountable for production readiness, system reliability, and incident prevention across portfolio systems.
    • Establish and enforce standards for monitoring, alerting, resiliency patterns, runbooks, and post‑incident reviews.
    • Drive continuous improvement in platform stability, observability, and operational maturity.
  • Delivery & Execution
    • Plan, architect, and lead large‑scale technical initiatives, upgrades, and implementations.
    • Collaborate with business leaders, product teams, and engineering managers to align technical execution with business priorities.
    • Introduce and evaluate modern tools and emerging technologies that improve platform capability and sustainability.
  • Mentorship & Collaboration
    • Act as a technical lead and mentor to Software Engineers I–III through coaching, design guidance, code reviews, and pair programming.
    • Support team growth by promoting best practices across the full Software Development Life Cycle (SDLC).

Qualifications

  • 8+ years of experience in software engineering, systems development, and large‑scale technical design.
  • Proven experience designing and supporting enterprise‑scale data platforms in both on‑prem and cloud environments.
  • Deep expertise in SQL Server / database engineering, including performance tuning, reliability, and troubleshooting long‑running or blocking workloads.
  • Strong understanding of enterprise data ingestion patterns using SQL, APIs, and cloud‑based platforms (AWS), with awareness of downstream analytics and warehouse impacts.
  • Experience with modern data ingestion and transformation tools (e.g., CData, dbt, or equivalent), with a focus on production ownership and maintainability.
  • Working knowledge of SQL Server replication technologies, including Microsoft Replication and Change Data Capture (CDC).
  • Strong skills in process modeling, data modeling, database design, and technical specification creation.
  • Excellent communication, organization, and planning skills; able to manage multiple priorities with minimal supervision.
  • Bachelor’s degree in Computer Science, Information Systems, Engineering, Mathematics, or a related field (or equivalent experience).
  • Hands‑on experience with containerization supporting data engineering or AI/ML workloads.
  • Exposure to cloud‑native architectures supporting scalable, reliable data pipelines.
  • Experience with project planning, technical road‑mapping, and deployment strategies.

Benefits

  • Core Medical Coverage: (low cost low deductible Medical, Dental, and Vision Insurance plans)
  • 401K Retirement Plan with 7% Employer Contribution
  • Exceptional Paid Time Off
  • Maternity / Paternity Leave
  • Infertility Treatment Program
  • Adoption Assistance
  • Education Assistance
  • Enterprise Learning and Development
  • And more
Vacancy posted 9 days ago
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