Platform Architect, Enterprise Data Engineering

4 weeks ago

Houston, Texas, United States Insperity Full time
Job Title: Platform Architect, Enterprise Data Engineering

Insperity is seeking a highly skilled Platform Architect, Enterprise Data Engineering to join our team. As a key member of our Enterprise Data Engineering team, you will be responsible for delivering consistent, robust, maintainable, and standards-conformant Enterprise Data Engineering (EDE) architecture and solutions that fulfill business requirements.

Key Responsibilities:
  • Participate in discussions with Product Owners, Business Analysts, and domain experts to determine requirements and model Data Engineering solutions.
  • Work with Product Owners to ascertain roadmap feasibility and deliver Data Engineering solutions based on the roadmap that adhere to given constraints with a focus on quality and time-to-market.
  • Champion Enterprise Data Engineering Architecture, Patterns, and Guidance.
  • Provide technical leadership and guidance on Data Engineering platform and tools.
  • Use empirical data to assess architectural requirements/constraints such as security, scalability, performance, availability, and redundancy.
  • Ensure requirements can be met with minimal upfront design at an acceptable cost and with acceptable tradeoffs.
  • Ensure physical and logical designs fit within our Enterprise Data Engineering architectural framework and conform to accepted architectural standards.
  • Identify necessary interactions with other applications/services and define Application Programming Interfaces (API) and service-level agreements (SLA).
  • Formulate and evolve pattern-based Data Engineering designs appropriate for the solution with a clear separation of concerns.
  • Grow and evolve the design, ensuring the integrity of the design is maintained over the course of a project.
  • Communicate and champion the design across the team and foster an environment of shared goals, collective ownership, and collaboration in building a design strategy.
  • Possess leadership skills needed to guide team members in delivering solutions that conform to Data Engineering architecture and design.
  • Coach and mentor team members on Data Engineering design/implementation approaches and techniques.
  • Bring consensus amongst team members on Data Engineering design and implementation strategy.
  • Provide guidance on design and integration strategies on Data Engineering Practices in the form of standards documentation, examples, training, and consultancy.
  • Publish technical documentation such as high-level design, logical diagrams, support documentation based on need and value.
  • Write code and critique developers' code.
  • Ensure Data Engineering designs and implementations fulfill not only functional needs but also non-functional needs such as security, maintainability, extensibility, testability, stability, configurability, and supportability.
  • Evaluate and adopt third-party products and platforms to solve Data Engineering problems.
  • Participate in technical and leadership trainings as needed and/or recommended by supervisor.
  • Coordinate Architectural evolutions with Enterprise and Solutions Architects.
  • Work with teams designated to implement and improve DevOps CI/CD practices.
  • Help in release planning.
Qualifications:
  • Bachelor's Degree in Computer Science, a related discipline, or four years of related work experience is required.
  • Seven plus years of professional experience in Computer Science or a related field is required.
  • Board knowledge of software development practice and procedures to build and implement analytics solutions across Data Engineering platforms/products (Azure, Snowflake, dbt, SQL Server, Tableau, PowerBI, Alation).
  • Proficiency in database technologies like SQL and NoSQL, familiarity with database design and optimization for structured, semi-structured, and unstructured data.
  • Working knowledge of Data Lakes, Data Warehousing Star & Snowflake schema, DevOps, CI/CD, Python, and SQL.
  • Apply best practices in Data Engineering to collect, move & transform, store, and analyze data at scale.
  • Expertise in data integration & analytic methodologies, data modeling, and cloud services like computing, caching, storage, networking, and security.
  • Progressive experience in new technology, programming, application analysis, and disaster recovery.
  • Knowledge of Workday and/or Salesforce is a plus.
  • Strong teamwork and collaborative skills.
  • Strong verbal and written communication skills, with an ability to express complex technical concepts in business terms using diagrams and presentations as needed.
  • Communicates tactfully and effectively and maintains positive and effective work relations with those encountered in the course of employment.
  • Possesses a strong customer service attitude.
  • Exhibits a passion for learning and continuous improvement.
  • Takes responsibility for acquiring new skills and broadening knowledge.
  • Exhibits a commitment to the utilization of defined standards and processes.

Insperity provides a reasonable range of minimum compensation. Actual compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, and specific office location. The range of starting pay for this role is $108,800 - $160,500.

At Insperity, we celebrate the diversity of our employees and our leadership. Insperity is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.

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