Bright Power Logo

Bright Power

Data Architect

Posted 13 Days Ago
Be an Early Applicant
In-Office
10004, New York, NY, USA
100K-130K Annually
Senior level
In-Office
10004, New York, NY, USA
100K-130K Annually
Senior level
Own data architecture and infrastructure decisions, design and optimize data models, ETL workflows, pipelines, and data lakes, and improve scalability and reliability. Monitor workflows, create automated tests and alerts, resolve incidents, conduct root cause analysis, ensure data quality, and collaborate with cross-functional teams and vendors. Serve as a technical expert, escalation point, and mentor for the data solutions team.
The summary above was generated by AI

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 
Qualifications

Skills/Qualifications 

  • Proven experience as a data architect or senior data engineer, including experience owning architecture decisions and being accountable for their outcomes. 
  • Demonstrated ability to evaluate technical trade-offs and make sound, well-reasoned recommendations on infrastructure and architecture choices grounded in business needs and value. 
  • 5+ years of proven administrative or development experience with Data infrastructure, complex data modeling, AWS environments, ETL workflows, and data APIs 
  • Technically proficient in data systems administration 
  • Proficiency with AWS Athena, MySQL, and Postgres, Linux or WSL, Git, programming with Python using pandas, and building pipelines with AWS Glue 
  • Proficiency with RDS, database documentation, and data lake architecture 
  • Excellent organizational and time management skills 
  • Strong work ethic and able to work independently and multitask 
  • Critical thinking and problems solving abilities 
  • Excellent verbal and written communication skills; ability to clearly articulate areas of opportunity across multiple technology domains 
  • Proven track record in working as part of a team to maintain and improve internal systems 
  • Interest in learning about buildings, construction, and its relation to energy and  
  • environmental issues. 
  • Passion for sustainability, climate change mitigation, and/or creating healthier buildings 

Salary: $100,000 - $130,000


Benefits 

In addition to working with incredible people, Bright Power offers competitive benefits. Find the list of our benefits offered on our careers home page 


EQUAL EMPLOYMENT OPPORTUNITIES
Bright Power provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, Bright Power complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

Bright Power expressly prohibits any form of workplace harassment based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. Improper interference with the ability of Bright Power’s employees to perform their job duties may result in discipline up to and including discharge.


HQ

Bright Power New York, New York, USA Office

11 Hanover Square, 21st Floor, New York, NY, United States, 10005

Similar Jobs

5 Days Ago
Remote or Hybrid
United States
160K-180K Annually
Senior level
160K-180K Annually
Senior level
Artificial Intelligence • Big Data • Cloud • Information Technology • Software • Big Data Analytics • Automation
Lead enterprise data architecture across warehouses, data lakes, downstream applications, and AI workloads. Design data models, Medallion Architecture, ELT standards, semantic layers, APIs, access controls, and reusable datasets. Partner with business and BI teams to drive adoption, conduct architecture reviews, establish platform standards, and mentor data and analytics engineers. The role requires deep Snowflake, dbt, data modeling, pipeline, and semantic-layer expertise, with experience in AI data patterns and cloud infrastructure preferred.
Top Skills: AWSAzureDatabricksDbtDelta LakeGCPGraphQLLlmsPower BIRagRestSnowflakeSnowflake Unity CatalogTableau
8 Days Ago
Remote or Hybrid
US
128K-193K Annually
Expert/Leader
128K-193K Annually
Expert/Leader
Information Technology
Designs and delivers Snowflake data architectures on AWS, including dbt-based data engineering and AI-enabled solutions. Leads RAG, vector search, embedding, semantic search, and analytics initiatives from proof of concept through production. Directs project teams, oversees solution quality and budgets, supports proposals and business cases, and serves as a trusted technical advisor to clients. Requires strong data engineering, governance, documentation, communication, and stakeholder-management skills, with travel as needed.
Top Skills: AWSDbtEmbedding PipelinesGenerative AiPrompt OrchestrationRetrieval-Augmented GenerationSemantic SearchSnowflakeSQLVector Search
One Month Ago
Remote or Hybrid
US
128K-193K Annually
Senior level
128K-193K Annually
Senior level
Information Technology
Designs and delivers Microsoft Fabric, Azure AI, Power BI, and generative AI architectures for enterprise clients. Leads solution design, prototyping, implementation readiness, governance, quality assurance, and client enablement across complex engagements. Develops AI solution patterns including RAG, vector search, embeddings, semantic search, and prompt orchestration. Leads project and client teams, supports business cases and proposals, reviews technical deliverables, manages risks, and serves as a trusted technical advisor.
Top Skills: AzureAzure AiAzure Ai SearchAzure OpenaiCi/CdCopilotEltEmbeddingsGenerative AiMicrosoft FabricOnelakePower BIPrompt EngineeringPysparkPythonRbacRetrieval-Augmented GenerationSemantic SearchSparkSQLVector Search

What you need to know about the NYC Tech Scene

As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.

Key Facts About NYC Tech

  • Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
  • Key Industries: Artificial intelligence, Fintech
  • Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
  • Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account