ABOUT FORGE

Forge, a member of Ajinomoto Bio-Pharma Services, is a gene therapy development engine, focused on enabling access to life changing gene therapies and helping bring them from idea into reality. We partner with innovators in the gene therapy community: scientists, physicians, biotech/pharma companies, and patient groups. We bring expertise in gene therapy manufacturing and therapeutics development to the table, helping to champion teams that are navigating the long road from the lab bench to the bedside. Our goal is simple but vital to patients living with disease, and we take it seriously. With a patient-first approach, we are forging new models for working together to better accelerate these transformative medicines to reach those who need them the most.
Forge is based in Columbus, Ohio, in a 200,000 square foot facility known affectionately by team members as, the Hearth. The Hearth, is a custom-designed cGMP facility dedicated to AAV manufacturing and hosts scalable, end-to-end manufacturing services.

WHAT YOU’LL BRING:

• Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related field (Master’s preferred).
• 6+ years of experience in data engineering, data integration, data modeling, or related fields.
• Proven ability to develop scalable, high-performing data pipelines that support AI, ML, and BI applications.
• Proficiency in programming languages such as Python, Java, or C/C++, and tools like SQL, R, SAS, or Excel.
• Experience working with modern data architectures, including cloud platforms (Azure, AWS, GCP).
• Familiarity with modern data platforms such as Microsoft Fabric, Databricks, or Snowflake (Fabric experience preferred but not required).
• Hands-on experience with relational and non-relational databases (e.g., SQL, NoSQL, Oracle, Hadoop).
• Strong collaboration and communication skills, with an ability to work cross-functionally and influence stakeholders at all levels.
• Strong problem-solving and debugging skills, with a track record of resolving complex data issues.
• Ability to work onsite (in Columbus, Ohio) 1 week/month is strongly preferred.
  This position works in a typical office environment where the physical work demands will vary depending on the specific tasks and duties required of the job. This is largely a sedentary role; persons holding office positions are generally subject to inside environmental conditions having the lighting, temperature, and noise of an open floor-plan office environment. Regularly operate a computer and other office equipment. Regularly communicate with others in person, over the phone, and electronically. Must be able to move and/or carry objects weighing up to 10 lbs.
  This job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee. Duties, responsibilities and activities may change or new ones may be assigned.
  Forge Biologics is an equal opportunity employer dedicated to building an inclusive and diverse workforce. Forge Biologics, provides equal employment opportunities to all employees and applicants for employment and 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.

ABOUT THE ROLE:

We are seeking a Senior Data Platform Engineer to join the Technology Services team to support our state-of-the-art gene therapy manufacturing facility in Columbus, Ohio. In this role, you’ll be instrumental in designing, building, and maintaining scalable data infrastructure and pipelines that support enterprise-wide analytics, reporting, and decision-making.
As we advance our data platform capabilities, you will also have the opportunity to support the adoption and implementation of Microsoft Fabric. While prior experience with Microsoft Fabric is not required, familiarity with modern data platforms and a willingness to learn are strongly valued.

WHAT YOU’LL DO:

• Design, develop, and maintain data pipelines for extracting, transforming, and loading (ETL) data from a variety of sources.
• Collaborate with data scientists, analysts, and cross-functional teams to optimize data workflows and ensure quality, security, and governance.
• Integrate data from multiple internal and external sources (e.g., databases, APIs, data warehouses).
• Apply data transformation techniques, including cleansing, enrichment, aggregation, and filtering.
• Monitor and optimize performance of data processing systems, identifying bottlenecks and applying performance tuning strategies.
• Conduct data validation and implement quality checks to ensure accuracy and completeness across the pipeline.
• Support the ongoing development and implementation of cloud-based data platforms, including Microsoft Fabric and similar technologies.