Senior Data Engineer

At Talkspace, we are committed to fostering a diverse, equitable, inclusive, and belonging-centered workplace where everyone can thrive while making a difference in mental health. Want to help over two million people receive quality mental healthcare? Come join our mission of getting therapy in the hands of everyone!

We are looking for a Senior Data Engineer to join our Data Science team. The Senior Data Engineer will lead the design and development of scalable, high-performance data architectures and models for both batch and streaming data processing. This person will define and execute a strategic Data Engineering Roadmap that maximizes the value of the organization's data assets and ensures alignment with long-term business goals. This involves managing ETL/ELT processes, optimizing database systems for performance and scalability, and driving continuous improvement in data engineering workflows. The Senior Data Engineer also collaborates with cross-functional teams to ensure that data solutions meet business needs and support data-driven decision-making across the organization.

This position is NYC-based and will require in-person work 1-2 days a week at our NYC office.

What You’ll Do

• Data Architecture and Modeling
  
  • Lead the design, development, and maintenance of scalable and high-performance data architectures and models that support both batch and streaming data processing.
  • Define and drive the execution of a strategic Data Engineering Roadmap that unlocks the full potential of the organization's data assets, ensuring alignment with long-term business objectives.
  • Own, enhance, and evolve critical datasets, including high-leverage streaming and batch data pipelines, along with the development of advanced data discovery, search experiences, and enterprise-wide reporting and data visualization tools.
• Database Processing and Management
  
  • Oversee complex data extraction, transformation, and loading (ETL/ELT) processes from diverse sources, driving critical analyses, manipulating large datasets.
  • Spearhead the administration, tuning, and optimization of database systems to ensure robust performance, reliability, and scalability, with a focus on both existing and emerging data technologies
• Continuous Improvement
  • Lead efforts to identify inefficiencies and potential areas for optimization in current data engineering processes, workflows, and technologies.
  • Drive the adoption of industry-leading best practices and cutting-edge tools to enhance operational efficiency, reduce technical debt, and scale data engineering capabilities across the organization.