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    Platform Architect, Enterprise Data Engineering - Houston, United States - Insperity

    Insperity
    Insperity Houston, United States

    2 weeks ago

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    Description

    Job Description

    Job DescriptionDescription & Requirements Insperity provides the most comprehensive suite of scalable HR solutions available in the marketplace with an optimal blend of premium HR service and technology. With more than 90 locations throughout the U.S., Insperity is currently making a difference for thousands of businesses and communities nationwide. Behind our success is the unshakeable belief in the value of our people. We value diversity, inclusivity and a sense of belonging. We celebrate work and life events, and we partner with our clients and communities to make great things happen. We have received recognition numerous times as a top place to work, most recently ranking on Glassdoor's "Best Places to Work in the U.S. 2024" list, and U.S. News & World Report's "Best Companies to Work for 2024" list. In addition, we have been recognized for having one of the country's Top 50 Midsize Early Talent Programs by RippleMatch's 2024 Campus Forward Awards. There is no better time to be a part of Insperity, and our best work is yet to come.

    Learn more at Why Insperity? Flexibility:
    Over 80% of Insperity's jobs have flexibility. We want your time to have balance, whether it's spent with coworkers, clients, family or your community.


    Career Growth:
    Insperity provides many ways to grow with the company. We offer continuous learning programs, mentorship opportunities and ongoing training.


    Well-Being:

    Our total rewards package includes generous paid time off, top-tier medical, dental and vision benefits, health & wellness support, paid volunteer hours and much more.

    We take care of our people so that you can do your best work. Platform Architect, Enterprise Data Engineering We are currently seeking a Platform Architect, Enterprise Data Engineering to join our team.

    This position is responsible for delivering consistent, robust, maintainable, standards conformant Enterprise Data Engineering (EDE) architecture and solutions that fulfill business requirements.

    This position works collaboratively with EDE teams to create and deliver such solutions. This role also ensures all produced work aligns with Department's strategic vision. Participates in formulation and communication of Data Engineering strategies.


    Responsibilities:

    Participates in discussions with Product Owners, Business Analysts, and domain experts to determine requirements and model Data Engineering solutions.

    Works with Product Owners in ascertaining roadmap feasibility; delivers Data Engineering solutions based on roadmap that adhere to given constraints with focus on quality and time-to-market.

    Champions Enterprise Data Engineering Architecture, Patterns, and Guidance. Provides technical leadership and guidance on Data Engineering platform and tools. Uses empirical data to assess architectural requirements/constraints such as security, scalability, performance, availability, and redundancy. Ensures requirements can be met with minimal upfront design at an acceptable cost and with acceptable tradeoffs. Ensures physical and logical designs fit within our Enterprise Data Engineering architectural framework and conforms to accepted architectural standards. Identifies necessary interactions with other applications/services and defines Application Programming Interfaces (API) and service-level agreements (SLA). Formulates and evolves pattern-based Data Engineering designs appropriate for the solution with a clear separation of concerns. Grows and evolves the design, ensuring the integrity of the design is maintained over the course of a project.

    Communicates and champions the design across the team and fosters an environment of shared goals, collective ownership, and collaboration in building a design strategy.

    Possesses leadership skills needed to guide team members in delivering solutions that conforms to Data Engineering architecture and design. Coaches and mentors team members on Data Engineering design/implementation approaches and techniques. Brings consensus amongst team members on Data Engineering design and implementation strategy.

    Provides guidance on design and integration strategies on Data Engineering Practices in the form of standards documentation, examples, training, and consultancy.

    Publishes technical documentation such as high-level design, logical diagrams, support documentation based on need and value. Writes code and critiques developers' code.

    Ensures 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.

    Evaluates and adopts third party products and platforms to solve Data Engineering problems. Participates in technical and leadership trainings as needed and/or recommended by supervisor. Coordinates Architectural evolutions with Enterprise and Solutions Architects. Works with teams designated to implement and improve DevOps CI/CD practices. Helps 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.

    Technical Skills 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. Soft Skills 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 $83,300 - $137,200. 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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