Principal, Software Development Engineering (Data Engineering)

Location: Dallas, TX, United States of America; other listed locations include Austin, TX and Irvine, CA.

Annual pay range: $134,400–$180,000 USD.

Company

hirify.global provides property intelligence, data, and technology solutions for the global property and real estate ecosystem.

What you will do

• Design scalable data models and processing frameworks for batch, streaming, API, analytics, and enterprise data use cases.
• Establish data architecture standards and support data governance and information strategy.
• Develop conceptual, logical, and physical data models covering data storage, processing, access, and integration.
• Define and document solution architectures, technical designs, requirements, and implementation approaches.
• Lead an engineering workstream, collaborate with principal engineers, and establish reusable architecture and technology practices.
• Provide technical guidance and help resolve complex data architecture and production issues across enterprise systems, including data warehouses, lakes, marts, and mesh architectures.

Requirements

• 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 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.
• Ability to develop clear architecture documentation, technical designs, standards, and specifications.
• Ability to independently lead complex technical workstreams, communicate effectively with stakeholders, translate business needs into technical solutions, collaborate with principal engineers, and apply strong organizational, prioritization, and problem-solving skills.

Nice to have

• 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.

Culture & Benefits

• Flexible working model, depending on role classification.
• Generous PTO, 11 paid holidays, and well-being and volunteer time off.
• Up to 16 weeks of fully paid parental leave and a baby stipend.
• Medical plan options with mental health and wellness support.
• 401(k) with company match and vesting after one year.
• $400 annual well-being stipend, tuition assistance up to $5,250, recognition rewards, referral bonuses, and discounts.