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Enterprise Data Engineering Architect
2 months ago
We are seeking a highly skilled Platform Architect, Enterprise Data Engineering to join our team at Insperity. As a key member of our Enterprise Data Engineering team, you will be responsible for delivering robust, maintainable, and standards-conformant data engineering solutions that meet business requirements.
Key Responsibilities- Collaborate 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 that adhere to given constraints, focusing on quality and time-to-market.
- Champion Enterprise Data Engineering Architecture, Patterns, and Guidance.
- Provide technical leadership and guidance on data engineering platforms and tools.
- Use empirical data to assess architectural requirements and constraints, ensuring that 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.
- Communicate and champion the design across the team, fostering an environment of shared goals, collective ownership, and collaboration in building a design 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, and 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.
- Bachelor's Degree in Computer Science or a related discipline, or four years of related work experience.
- Seven plus years of professional experience in Computer Science or a related field.
- Technical skills, including board knowledge of software development practices and procedures, proficiency in database technologies, working knowledge of data lakes, data warehousing, DevOps, CI/CD, Python, and SQL.
- Expertise in data integration and analytic methodologies, data modeling, and cloud services.
- Progressive experience in new technology, programming, application analysis, and disaster recovery.
- Knowledge of Workday and/or Salesforce is a plus.
Insperity provides a competitive compensation package, including a range of $83,300 - $137,200, depending on skill set, level of experience, and specific office location. We celebrate the diversity of our employees and leadership, and Insperity is an equal opportunity employer, committed to providing a work environment free from discrimination and harassment. We offer a range of benefits, including generous paid time off, top-tier medical, dental, and vision benefits, health and wellness support, paid volunteer hours, and more.
We are committed to the utilization of defined standards and processes, and we encourage our employees to acquire new skills and broaden their knowledge. We are passionate about learning and continuous improvement, and we take responsibility for our work and our team's success.
