Job Description:We are seeking a highly motivated and self-driven Principal Data Engineer / Data Architect with deep experience designing data models and building scalable batch and streaming data pipelines.
This individual will serve as a lead, or anchor, engineer responsible for designing and delivering reusable, enterprise-grade data capabilities used across Cotality. The role requires hands-on expertise with Google Cloud Platform, including BigQuery and Dataflow, along with strong Python skills and experience working with graph technologies such as Neo4j or Google Spanner. Experience with orchestration tools such as Apache Airflow is also important.
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.
Preferred Experience- 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.
Leadership and Collaboration- 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 CotalityAt 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!
