Senior Data & Payments Platform Lead

ARCHER; Plano (TX); On-site; USD 180,000 - 240,000; Full time

Benefits offered by this job

Health Care Coverage

On-Site Health And Wellness Centers

Retirement Savings Plan

Backup Childcare

Tuition Reimbursement

Mental Health Support

Financial Coaching

Job summary

ARCHER leads the design, development, and operation of scalable enterprise data products with hands-on technical leadership across implementation, reviews, troubleshooting, and production readiness.

The role establishes data engineering standards, promotes safe AI-assisted development, partners with stakeholders to deliver data solutions, and mentors engineers to advance capabilities within the team.

Qualifications

• 10+ years of software or data engineering experience.
• Formal training or certification in software engineering concepts.
• Hands-on experience delivering enterprise-scale solutions.
• Deep Databricks and distributed data processing expertise.
• Strong data engineering and architecture fundamentals, programming skills, and leadership in AI-enabled engineering.

Responsibilities

• Lead design, development, and operation of scalable enterprise data products.
• Provide hands-on technical leadership across implementation, reviews, troubleshooting, and production readiness.
• Establish data engineering standards and promote safe AI-assisted development.
• Mentor engineers and partner with stakeholders to deliver data solutions.

Skills

Databricks

Data Engineering

Distributed Data Processing

Enterprise Data Platforms

Data Architecture

Data Modeling

Data Integration

Programming

System Design

Application Development

Data Quality

Data Governance

Observability

AI-Assisted Software Development

Cloud-Native Data Architectures

Technical Leadership

Job description

ARCHER leads the design, development, and operation of scalable enterprise data products with hands-on technical leadership across implementation, reviews, troubleshooting, and production readiness.

The role establishes data engineering standards, promotes safe AI-assisted development, partners with stakeholders to deliver data solutions, and mentors engineers to advance capabilities within the team.