Data - Tech Lead

At Forge (NYSE: FRGE), we know our team is our greatest asset. As technology innovators in the private market, our vision is to deliver a richer future for everyone. We live that vision through our values of being bold, humble and accountable. We experience the value that our vision brings to the world every day, helping the teams behind the greatest innovations of our generation, from space travel to planet-saving, plant-based nutrition and more.

Our mission is to empower more people to exercise ownership in the world’s leading private companies via a world-class technology platform with access to the largest network of buyers and sellers in the world. With liquidity solutions, exclusive data and insights, a custody offering, and a vibrant marketplace, Forge’s goal is to build the best-in-class technology infrastructure to power a global private market that is transparent, accessible and seamless for companies, their employees and investors. Through Forge, employees can sell their private shares, employers can reward shareholders with pre-IPO liquidity and individual and institutional investors can participate in private unicorn growth.

Forge's differentiated global marketplace addresses rising demand among individual and institutional investors for exposure to private company stocks and it is building a growing network effect with defensible competitive advantages. The Forge marketplace has over 440,000 registered users and private shares have traded in more than 500 companies since inception, representing over $12 billion in volume across over 21,000+ transactions.

Our ability to offer these powerful financial solutions has generated incredible interest from investors, demand from customers, and a need to grow our team to meet the needs of more companies, teams and innovators in this way. You can learn more about Forge in the following video: “The private market future starts now”.

The Role: 

As a Tech Lead for Data at Forge, you will bring your substantial experience in data solutions to help unlock the power of our data for our customers. You will handle the increasing complexity and demand for data from various sources, enabling customers to make informed investment decisions. You will lead the data engineering team in designing and implementing a cutting-edge data platform and pipelines along with direct collaboration with crucial teams such as Product, Research, and Engineering enhance the data platform. Join our pioneering team and embark on a thrilling journey to create a next-generation platform that will revolutionize private market platform. We're searching for a passionate tech lead for Data Engineering team to join our dynamic team and play a pivotal role in shaping the future.

This will be a hybrid role where you'll be onsite 1-2 days a week.

Responsibilities: 

• Design, build, and maintain robust and scalable data pipelines using Python, AWS services (e.g., S3, Redshift, Glue, Fivetran,), Snowflake, Postgres, and other relevant data technologies 
• In-depth expertise in designing data warehousing technologies on snowflake , Data services , enabling event driven architecture, scalable pipelines and experience in migrating from legacy platforms is a plus. 
• Lead workstream(s) within a lean and agile environment from requirements gathering to creating plan of actionable tasks for the team 
• Provide coaching, mentorship members of the data team on architecture, software development best practices, and new technologies 
• Create standardized datasets and perform data quality on data sources to automate and maintain a quality control capability 
• Partner with data scientists, analysts product and engineering to ensure product changes integrate well with the data platform and translate them into technical solutions. 

Required Qualifications:   

• 8+ years of demonstrated experience as a Data Engineer  
• 1+ years of experience leading, coaching, and providing mentorship to software engineers in an agile environment 
• 5+ years of hands-on and deep experience using Star/Snowflake for schema design, data modeling, data pipeline and MLOps 
• Proficient in Data Warehouse technologies (e.g. Snowflake, AWS Redshift, etc) and in AWS data pipelines (Lambda, AWS glue, Step functions, Airflow etc)  
• Familiarity working with Pandas, Numpy, Scikit-learn, and Jupyter notebooks, Git, GitHub, JIRA, SQL and at least one programming language like Python, Java or Typescript. 

Preferred Qualifications:   

• Previous experience working in Private Markets, Financial Services or FinTech space 
• 2+ years of Tech Lead and management experience – Player Coach – providing mentorship 
• Experience migrating data sets and