Data Engineering Manager/Data Architect

Who are we and why this opportunity?

SparkCognition, Inc. delivers world-class AI solutions that allow a business to solve their most critical problems, empowering them to run a more sustainable, safer, and profitable business. Our award-winning AI solutions predict future outcomes, optimize processes, and prevent cyberattacks. We partner with the world’s industry leaders to analyze, optimize, and learn from data. We augment human intelligence, drive profitable growth, and achieve operational excellence.

Drive change and create a footprint. Learn more at: SparkCognition

Position Summary:

SparkCognition’s Renewable Suite is the world’s leading AI enabled SaaS platform that provides asset performance management and prescriptive analytics software to ever growing renewable energy power plants by combining the power of machine learning, big data, and deep domain expertise. Our platform works across multiple asset types such as wind, solar, storage and DC coupled assets to offer insights to our customers across their fleets. As a Data Engineering Manager/Data Architect you will be working closely with team members across domains with deep technical skills and passion for clean energy.

Join us in:

• Bringing large volumes of data from wind, solar, storage sites to cloud
• Architecting scalable data ETL and MLOps pipelines and workflows 
• Work closely with delivery engineering team for successful hand-off of with detailed documentation of ETL and customer workflow 

You’ll have:

• Excellent programming skills in Python are mandatory, along with deep expertise in relational databases (MSSQL/MySQL/Postgres)
• 7+ years of hands-on experience in data engineering, with a solid foundation in data engineering architecture principles
• Experience with platforms such as Ignition, Kepware, OSIsoft/AVEVA PI
• Strong understanding of serverless architectures and experience building scalable ETL pipelines 
• Effective communicator and leader, capable of initiating and driving projects
• People and Project Management a plus

It would be great if you had: 

• Experience in renewable energy or IoT time series data
• Experience in workflow orchestration technologies like Airflow or Prefect
• Experience working with cloud-native tools, particularly AWS or GCP
• Hands-on experience in DevOps, with a focus on cloud-native technologies

SparkCognition is an equal opportunity employer, dedicated to diversity, equality, and inclusion, and provides equal employment opportunities to all employees and applicants for employment.

SparkCognition prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.

SparkCognition is committed to providing reasonable accommodations throughout the recruiting process. If you need a reasonable accommodation, please contact us to discuss how we can assist you.