Principal, Data Engineer

About the role

Cotality is seeking a Data Engineer to join our dynamic team. As a Data Engineer, you will be responsible for designing and implementing scalable, high-performance data solutions using industry best practices and modern technologies. Your role will involve translating business requirements into technical solutions, driving the design and delivery of reusable data capabilities, and leading the development of robust data processing frameworks.

Responsibilities

• Design and implement scalable, high-performance data solutions using industry best practices and modern technologies
• Translate business requirements and processes into well-architected technical solutions, aligning with enterprise architecture standards and long-term technology strategy
• Define and document solution architecture, technical designs, and requirements to support business objectives while balancing practical implementation and strategic vision
• Provide technical leadership and guidance to engineering and support teams, ensuring alignment with business and IT strategies
• Develop and present architecture and design artifacts to both technical and non-technical stakeholders
• Proactively identify challenges, assess downstream impacts across business domains, and drive solution design through research, validation, and stakeholder consensus
• Evaluate the impact of new solutions on existing architecture, ensuring compliance with enterprise standards and governance frameworks
• Contribute to enterprise-wide technology initiatives and support critical issue resolution when needed
• Actively participate in team ceremonies, provide status updates, and support overall project governance and execution

Qualifications

• Bachelor’s degree in Computer Science, Engineering, or a related discipline (or equivalent work experience)
• 7+ years of experience in IT, with strong expertise in data architecture, integrating and analyzing disparate data sources, and driving data quality improvements—preferably within the mortgage, real estate, or insurance domains
• Strong knowledge of the full lifecycle of database, data warehouse, and data mart design and development
• Demonstrated ability to resolve complex enterprise-wide data architecture challenges
• Expertise in designing data management solutions aligned with strategic technology roadmaps and emerging industry trends
• Proficiency with data modeling tools and strong experience across SQL and NoSQL technologies

Technical Skills & Experience

• Hands-on experience with cloud platforms such as AWS and Google Cloud Platform (GCP)
• Strong programming skills in Python and PySpark
• Experience with AI development frameworks and lifecycle methodologies (e.g., BMAD, Spec Kit)
• Experience with big data and distributed processing technologies such as Hadoop, Spark, and Elasticsearch
• Working knowledge of modern data platforms, including graph databases (e.g., Neo4j, Google Spanner)
• Experience with data processing and orchestration tools such as Google Cloud Dataflow, Apache Beam, and Apache Airflow
• Ability to develop and document detailed technical designs and specifications

Leadership & Soft Skills

• Proven ability to mentor and guide engineering teams on architectural best practices and technical approaches
• Strong communication skills, with a collaborative mindset and interest in pair programming environments
• Proven ability to manage multiple projects and priorities in a fast-paced environment
• Excellent organizational, time management, and problem-solving skills
• Strong interpersonal and stakeholder management abilities

Preferred Qualifications

• Domain experience in Real Estate, Mortgage, or Insurance industries is highly desirable

Pay

Annual Pay Range: 154,600 - 195,000 USD

Schedule

Not specified

Benefits

See details in the Job Description

Contact

For more information, please visit our website or connect with us on social media.