Data Architect

Senior Data Engineer / Data Architect

New York, NY or Remote

Bright Power works with forward thinking owners and developers to identify, design, and implement custom energy and water solutions on a wide variety of systems. Our team is a diverse, talented, and hard-working group of individuals committed to growing this industry and to making a positive impact on the environment.

Join Us

Bright Power is comprised of a team of diverse, talented, and hard-working individuals committed to growing this industry and making a positive impact on the environment. We are passionate about reducing energy and water usage by implementing energy efficiency and renewable energy technologies. Our goal is to improve the health, comfort, and value of our client’s buildings, while cultivating a sustainable future. We believe deeply in doing well by doing good and come to work every day seeking to change the world.

The Role

Bright Power is seeking a Data Architect / Senior Data Engineer to work alongside Data Services and Software under the direction of the SVP, Data & Product Strategy in developing and maintaining a complex data infrastructure for all of Bright Power.

As a Data Architect, you will be the primary decision-maker on how our data infrastructure is designed and built. You’ll be trusted to weigh business needs and trade-offs, including cost, complexity, timeline, maintainability, and team capacity. You’ll recommend and defend the approach that best serves Bright Power’s actual business needs and play a key role in helping junior members of the Data Team grow their technical skills.

Primary Responsibilities

• Own architecture and infrastructure decisions. Evaluate trade-offs, including cost, complexity, timeline, maintainability, and team capacity. Recommend and defend the approach that best serves Bright Power’s actual business needs.
• Develop a thorough understanding of business needs and priorities across Data Services, Software, and service delivery teams in order to design and recommend approaches with the highest business impact.
• Design, build, and optimize data sets, ETL workflows and data pipelines, and architectures: Identifying, designing, and implementing internal process improvements including re-designing infrastructure for greater scalability, optimizing data delivery, and automating data pipelines
• Gain thorough understanding of business needs and priorities in order to recommend and design approaches with highest impact
• Collaborate with cross-functional teams to build pipelines and processes that are dependable, well monitored, and issues are clearly communicated to stakeholders when discovered and as they are repaired
• Create and maintain automated/regression tests, setup alerts, monitor pipelines/workflows, and fix data pipeline problems
• Perform root cause analysis on external and internal processes and data to identify opportunities for process improvement and test creation.
• Serve as both a technical expert on the data solutions team and as a technical guide to other data solutions team members.
• Serve as an escalation point and subject matter expert during major data pipeline incidents and coordinate the issue resolution with key internal and external stakeholders.
• Ensure data quality through collaboration with the company's premier data vendor partners by identifying data problems, communicating them to the vendor, and verifying when they are rectified.
• As part of an Agile project and operations team; design, develop, test, implement and support technical solutions across full-stack development tools and technologies
• Other work as assigned