Lead Data Engineer

About Auris

Auris is the payroll and HR partner built for small and medium-sized businesses who can’t afford to get it wrong. Trusted by over 50,000 businesses nationwide, Auris pairs easy-to-use technology with real human services to give leaders the confidence that every detail is done right so they can focus on growing their team and their business. Acquired by Acrisure in 2025, Auris formerly Heartland Payroll is accelerating its vision to deliver seamless human-centered technology to help small businesses thrive.

• Lead the design and implementation of scalable data pipelines across Azure Data Factory, batch, streaming, messaging platforms (Kafka, Event Hub, or similar)
• Architect and optimize data models and storage patterns in Azure SQL, including performance tuning, partitioning, indexing, and workload optimization.
• Support and modernize legacy Oracle environments, including schema design, PL/SQL logic, and data extraction strategies.
• Drive the migration of data assets from Oracle to Azure SQL using tools such as SSMA, ADF, and custom ETL/ELT frameworks.
• Apply strong software engineering principles (CI/CD, version control, testing, code reviews, modular design) to all data engineering work.
• Build reusable frameworks, libraries, and automation to accelerate data ingestion, transformation, and quality checks.
• Ensure engineering best practices across the team, including coding standards, documentation, and observability.

• Design and implement streaming data pipelines using Spark Structured Streaming, Kafka, Event Hub, or similar technologies.
• Build and maintain high‑throughput, low‑latency data ingestion and processing systems.
• Integrate streaming and batch pipelines into unified, reliable data products.

• Implement data quality frameworks, monitoring, and observability across pipelines.
• Partner with data governance teams to ensure lineage, metadata, and compliance requirements are met.
• Enforce secure data access patterns and RBAC across Azure environments.

• Mentor and guide data engineers, promoting a culture of technical excellence and continuous learning.
• Collaborate with DBAs, analysts, architects, and business stakeholders to deliver high‑impact data solutions.
• Influence platform strategy, tooling decisions, and long‑term data architecture.

• 10+ years of experience in data engineering with a strong foundation in software engineering.
• Deep expertise in Azure SQL (performance tuning, T‑SQL, security, optimization).
• Strong experience with Oracle (PL/SQL, schema design, performance tuning, data extraction).
• Hands‑on experience with Spark (Databricks, PySpark, or Scala Spark) is preferred.
• Experience building streaming pipelines using Kafka, Event Hub, or similar platforms.
• Strong proficiency in Python, SQL, and at least one general‑purpose programming language (Java, Scala, C#, etc.).
• Experience with CI/CD, Git, Dev Ops practices, and infrastructure‑as‑code (Terraform, ARM, Bicep).
• Strong understanding of distributed systems, data modeling, and data architecture patterns.

• Competitive compensation and performance incentives.
• Comprehensive benefits package.
• Collaborative, mission-driven culture with high visibility and impact.

At Acrisure, we’re building more than a business, we’re building a community where people can grow, thrive, and make an impact. Our benefits are designed to support every dimension of your life, from your health and finances to your family and future.

Making a lasting impact on the communities it serves, Acrisure has pledged more than $22 million through its partnerships with Corewell Health Helen DeVos Children's Hospital in Grand Rapids, Michigan, UPMC Children's Hospital in Pittsburgh, Pennsylvania and Blythedale Children's Hospital in Valhalla, New York.

• Physical Wellness:
  Comprehensive medical insurance, dental insurance, and vision insurance; life and disability insurance; fertility benefits; wellness resources; and paid sick time.
• Mental Wellness:
  Generous paid time off and holidays;
  Employee…