Senior Data Architect responsible for building data infrastructure at Trexquant, integrating diverse datasets for research and simulation applications. Collaborating with teams to enhance data accessibility and quality.
About the role
- Sr. Data Engineer building and maintaining data infrastructure and solutions at FutureFit AI. Collaborating with teams to support data-driven decisions and drive impactful outcomes.
Responsibilities
- Building and maintaining the infrastructure that powers our data platform including pipeline orchestration, data warehousing, and machine learning
- Develop and maintain data solutions alongside a team of data scientists that enable our product to function at scale and with quality
- Uphold best practices in data governance, ensuring accuracy, accessibility, and compliance across data systems
- Surface and integrate data from across the platform to address real business needs in product, engineering, and GTM
- Continuously evolve our foundational models by identifying and incorporating new, high-value data sources
- Contribute to our core data pipelines by adding data quality and data enrichment layers
- Work with data scientists to develop datasets and processes that streamline complex workflows
- Own and automate reporting workflows from data ingestion all the way to building out dashboards and tools
Requirements
- Proven ability to translate ambiguous business problems into clear, actionable insights
- Hands-on experience using SQL and Python for analysis in a professional setting
- Experience building and maintaining data pipelines, warehouses, and infrastructure
- Strong communication skills to convey technical insights to both technical and non-technical stakeholders
- Demonstrated ownership of analytics solutions, ensuring accuracy, reliability, and business alignment
- Familiarity with data visualization tools such as Looker, Power BI, or Tableau
- Familiarity with modeling structured and unstructured data, including NoSQL databases like MongoDB
- A sharp, kind, and open-minded approach, driven by both excellence and impact
- Hands-on experience with modern data tools like DBT and Airflow (preferred)
- Experience with SageMaker or an equivalent machine learning / data science platform (preferred)
Benefits
- Health insurance
- Professional development
- Flexible work arrangements
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