Data Architect

Position Summary

We are seeking an experienced and forward-thinking Solution Architect – Data Engineering to lead the design and implementation of scalable, secure, and high-performance data solutions. The ideal candidate will have deep expertise with Python and SQL, experience with data warehouses (Snowflake or something similar), a strong command of engineering best practices (including linters and code formatters, project organization, and managing environments), and practical experience building CI/CD pipelines to ensure robust, automated delivery of data pipelines and services.

• Architect Scalable Data Solutions Design and implement end-to-end data engineering architectures that are scalable, maintainable, and performant across batch and real-time processing systems.
• Engineering Leadership Lead by example with high-quality Python code, utilizing linters (e.g., pylint, flake8, black) and enforcing code cleanliness, readability, and best practices across teams.
• CI/CD Pipeline Development Build, manage, and optimize CI/CD pipelines using tools such as Git Hub Actions, Git Lab CI, Circle
  
  CI, or Jenkins to automate testing, code quality checks, and deployment of data engineering components.
• Data Governance & Quality Establish data validation, logging, and monitoring strategies to ensure data integrity and reliability at scale.
• Collaborate Cross-Functionally Work closely with data scientists, software engineers, Dev Ops, and business stakeholders to translate requirements into technical solutions and ensure alignment with overall enterprise architecture.
• Mentorship & Code Reviews Provide guidance to junior developers, lead technical reviews, and enforce clean coding standards throughout the data engineering team.

• 7+ years of experience in software or data engineering, with 3+ years in an architectural or technical leadership role.
• Expert