Principal, Software Development Engineering

Key Responsibilities

• Design scalable data models and processing frameworks that support batch, streaming, API, analytics, and enterprise data use cases.
• Establish data architecture standards and support broader data governance and information strategy.
• Develop conceptual, logical, and physical data models that define how data is stored, processed, accessed, and integrated.
• Define and document solution architecture, technical designs, requirements, and implementation approaches.
• Lead an assigned engineering workstream while collaborating with other principal engineers on architecture, design, and technology best practices.
• Provide technical leadership and guidance to engineering and support teams.
• Help resolve complex data architecture and production issues across enterprise systems.
• Support enterprise technology initiatives involving data warehouses, data lakes, data marts, and data mesh architectures.
• Job Qualifications:
• Bachelor’s degree in computer science, Engineering, or a related discipline, or equivalent professional experience.
• Strong experience designing enterprise data architecture, data models, and scalable data-processing solutions.
• Hands-on experience with Google Cloud Platform, particularly BigQuery and Dataflow.
• Strong programming experience with Python and PySpark.
• Experience with SQL and NoSQL technologies, including the full lifecycle of database, data warehouse, and data mart design.
• Experience working with graph databases or graph-oriented data solutions, such as Neo4j or Google Spanner.
• Experience with distributed data-processing and orchestration technologies such as Apache Beam and Apache Airflow.
• Demonstrated ability to develop clear architecture documentation, technical designs, standards, and specifications.
• Experience with both Google Cloud Platform and AWS.
• Experience designing or supporting batch and streaming data pipelines.
• Knowledge of enterprise data governance, architecture standards, and technology strategy.
• Experience with modern data architecture concepts, including data lakes and data mesh.
• Exposure to AI development frameworks or lifecycle methodologies such as BMAD or Spec Kit.
• Experience mentoring engineers and guiding teams on architectural practices and technical approaches.
• Ability to independently lead a complex technical workstream from design through delivery.
• Strong communication and stakeholder-management skills.
• Ability to translate business needs into practical, well-architected technical solutions.
• Comfortable collaborating with other principal engineers to establish reusable patterns and consistent technology practices.
• Strong organizational, prioritization, and problem-solving skills in a fast-paced engineering environment.
• Annual Pay Range:
• 134,400 - 180,000 USD
• Application Window:
• This opportunity is expected to remain posted through the date identified below, subject to business needs.
• 2026-10-21
• Thrive with Cotality
• At Cotality, we offer more than just a job, we provide a benefits experience designed to support your whole self. From a flexible working model to competitive time off and standout health coverage with meaningful perks and growth opportunities, our package is built to help you thrive at work and in life.
• Highlights, depending on role classification, include:
• Time off: Generous PTO and 11 paid holidays, plus well-being and volunteer time off.
• Family Support: Up to 16 weeks of fully paid parental leave and a baby stipend.
• Health: Multiple medical plan options with mental health and wellness support offerings.
• Retirement: 401(k) with company match and vesting after one year.
• Financial Perks: $400 annual well-being stipend and tuition assistance up to $5,250.
• Extras: Recognition Rewards, Referral bonuses, exclusive discounts and more!
• Cotality is an Equal Opportunity employer committed to attracting and retaining the best-qualified people available, without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, disability or status as a veteran of the Armed Forces, or any other basis protected by federal, state or local law. Cotality maintains a Drug-Free Workplace.
• Cotality is fully committed to a work environment that embraces everyone’s unique contributions, experiences and values. We offer an empowered work environment that encourages creativity, initiative and professional growth and provides a competitive salary and benefits package. We are better together when we support and recognize our differences.
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Preferred Experience

Leadership and Collaboration

Qualifications

• Bachelor’s degree in computer science, Engineering, or a related discipline, or equivalent professional experience.
• Hands-on experience with Google Cloud Platform, particularly BigQuery and Dataflow.
• Experience with SQL and NoSQL technologies, including the full lifecycle of database, data warehouse, and data mart design.
• Experience with distributed data-processing and orchestration technologies such as Apache Beam and Apache Airflow.
• Experience with both Google Cloud Platform and AWS.
• Experience with modern data architecture concepts, including data lakes and data mesh.