Lead Data Engineer

Acrisure•Oklahoma City, OK

1d•Onsite

About The Position

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. What You’ll Do Data Platform & Engineering 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. Real‑Time & Distributed Data Processing 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. Data Quality, Governance & Security 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. Leadership & Collaboration 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. What Are We Looking for in this Role? Qualifications 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, DevOps practices, and infrastructure‑as‑code (Terraform, ARM, Bicep). Strong understanding of distributed systems, data modeling, and data architecture patterns. What we offer Competitive compensation and performance incentives. Comprehensive benefits package. Collaborative, mission-driven culture with high visibility and impact. #Auris Candidates should be comfortable with an on-site presence to support collaboration, team leadership, and cross-functional partnership. Why Join Us: 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. Employee Benefits We also offer our employees a comprehensive suite of benefits and perks, including: 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 Assistance Program (EAP); and a complimentary Calm app subscription. Financial Wellness: Immediate vesting in a 401(k) plan; Health Savings Account (HSA) and Flexible Spending Account (FSA) options; commuter benefits; and employee discount programs. Family Care: Paid maternity leave and paid paternity leave (including for adoptive parents); legal plan options; and pet insurance coverage. … and so much more! This list is not exhaustive of all available benefits. Eligibility and waiting periods may apply to certain offerings. Benefits may vary based on subsidiary entity and geographic location. Acrisure is an Equal Opportunity Employer. We consider qualified applicants without regard to race, color, religion, sex, national origin, disability, or protected veteran status. Applicants may request reasonable accommodation by contacting [email protected]. Final candidates will be required to complete post-offer verification processes related to the role and in accordance with applicable laws. California Residents: Learn more about our privacy practices for applicants by visiting the Acrisure California Applicant Privacy Policy. Recruitment Fraud: Please visit here to learn more about our Recruitment Fraud Notice. Welcome, your new opportunity awaits you. There are amazing opportunities for talented people in every part of our business. We invite you to find your next great opportunity with us. You can apply, track your progress and review new postings all in one place! To Executive Search Firms & Staffing Agencies: Acrisure does not accept unsolicited resumes from any agencies that have not signed a mutual service agreement. All unsolicited resumes will be considered Acrisure's property, and Acrisure will not be obligated to pay a referral fee. This includes resumes submitted directly to Hiring Managers without contacting Acrisure's Human Resources Talent Department.

Requirements

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).
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, DevOps practices, and infrastructure‑as‑code (Terraform, ARM, Bicep).
Strong understanding of distributed systems, data modeling, and data architecture patterns.

Nice To Haves

Hands‑on experience with Spark (Databricks, PySpark, or Scala Spark) is preferred.

Responsibilities

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.