About this Opportunity:
As a Data Architect in this mission-critical role, you will design, build, and evolve the data architecture for one of our flagship products, with responsibilities spanning database development, data integration, and production support. This is not a DBA role—while you will leverage your deep expertise in database performance, availability, and security, you will also be actively involved in designing and developing database objects, ETL/ELT processes, and data flows to support product and business needs.
You will work closely with product, operations, application development, and analytics teams to deliver scalable, secure, and high-performance data solutions in a high-volume FinTech environment. This includes production support and on-call coverage (primarily during business hours, with occasional after-hours needs).
We are an AI-first company, and we expect our engineers and architects to use AI tools daily to improve speed, quality, and innovation. You’ll work effectively with offshore teams, communicating clearly in asynchronous settings and engaging in real-time pairing during planned overlapping business hours.
If you thrive in a dynamic environment where scaling, innovation, observability, and collaboration are the norm—not the exception—you’ll fit right in.
For External Candidates:
Candidates must work in-office at one of the following locations for at least 3 days per week: Omaha, NE; Berwyn, PA; Hebron, KY.
For Internal Candidates:
All internal employees, regardless of their current work arrangement (remote or in-office), are encouraged to apply.

In this role, you’ll get to:

• Design, develop, and maintain database schemas, stored procedures, functions, and ETL/ELT processes to support application and analytics needs.
• Own and evolve the data architecture for a core product, ensuring performance, scalability, security, and observability.
• Provide production support for database-related issues, participating in on-call rotations (mostly during business hours).
• Partner with product and engineering leadership to align database design and architecture decisions with business goals.
• Implement and maintain observability frameworks—including logging, metrics, alerts, and tracing—for proactive monitoring and issue resolution.
• Collaborate with offshore engineering teams through asynchronous communication and real-time pairing during overlapping hours.
• Apply AI-driven tools and automation to optimize database development, performance tuning, and troubleshooting.
• Monitor platform health, diagnose and resolve incidents, and implement preventative improvements.
• Ensure compliance with data governance, quality, and security standards.
• Stay ahead of emerging technologies, especially in cloud-native, AI-driven, and real-time data architectures—and assess applicability.

We’re looking for talent who:

• 10+ years in data architecture or database engineering, with 7+ years in MySQL development and architecture.
• Proven ability to design and develop database solutions—including tables, indexes, views, stored procedures, and ETL pipelines—not just administer them.
• Expertise in performance tuning, query optimization, high-availability groups, security hardening, and disaster recovery.
• Experience with MySQL in production environments.
• Experience with SSIS or similar ETL tools, a strong plus.
• Demonstrated experience implementing and maintaining observability solutions (e.g., SQL monitoring tools, APMs, dashboards, log aggregation, and alerting systems).
• Familiarity with cloud-native data architectures (AWS, Azure, or GCP) and modern data platforms (Snowflake, Databricks, Kafka, dbt, etc.).
• Experience in FinTech or other high-volume, regulated industries preferred.
• Strong collaboration skills with globally distributed teams, including clear asynchronous communication and respectful time zone coordination.
• Bachelor’s degree in Computer Science, Mathematics, MIS, or related field.
• Orion Industry Certification (or ability to obtain).
• Comfortable with AI-driven development and architecture as part of daily workflow.

LI-AP1

LI-Onsite

LI-Hybrid

Salary Range:
$108,245.00 - $169,933.00
The pay listed in this posting indicates the estimated pay at the time of this posting; however, may vary depending on geographic location, job-related knowledge, skills, and experience. In addition, Orion offers a competitive benefits package which includes health, dental, vision, and disability coverage on day one, 401(k) plan with employer match, paid parental leave, pet benefits including pawternity leave and pet insurance, student loan repayment and more.
About Us
At Orion, we achieve our best work when we support one another, staying personally accountable to each other and the clients we serve. We create a welcoming environment where everyone is respected, valued, and heard. Our commitment to create raving fans ensures we consistently exceed client expectations. Thinking differently is in our DNA—we innovate always, push boundaries, and reject the status quo to deliver transformative outcomes. Together, we support one another and see it through to success, driving our collective achievements and those of our clients

• Design, develop, and maintain database schemas, stored procedures, functions, and ETL/ELT processes to support application and analytics needs.
• Own and evolve the data architecture for a core product, ensuring performance, scalability, security, and observability.
• Provide production support for database-related issues, participating in on-call rotations (mostly during business hours).
• Partner with product and engineering leadership to align database design and architecture decisions with business goals.
• Implement and maintain observability frameworks—including logging, metrics, alerts, and tracing—for proactive monitoring and issue resolution.
• Collaborate with offshore engineering teams through asynchronous communication and real-time pairing during overlapping hours.
• Apply AI-driven tools and automation to optimize database development, performance tuning, and troubleshooting.
• Monitor platform health, diagnose and resolve incidents, and implement preventative improvements.
• Ensure compliance with data governance, quality, and security standards.
• Stay ahead of emerging technologies, especially in cloud-native, AI-driven, and real-time data architectures—and assess applicability