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Piper Companies is currently looking for an experienced Senior Data Solutions Engineer to join a leading financial technology and advisory firm in Kennett Square, PA.
Job Responsibility:
Acting as Technical Lead for client-facing data analytics engagements, guiding solution design, delivery approach, and technical decision-making
Leading discovery and data assessment activities to evaluate data availability, quality, and feasibility for analytics, reporting, and data management initiatives
Designing, modeling, and onboarding new datasets into the enterprise Data Platform while ensuring alignment with platform standards and client requirements
Developing and overseeing custom analytics solutions including reports, dashboards, semantic models, queries, and views to support advanced data consumption
Defining and implementing data quality rules and validation checks beyond standard platform capabilities
Reviewing solution designs to ensure scalability, reliability, maintainability, and alignment with long-term platform strategy
Serving as the primary technical point of contact for clients, translating business needs into actionable technical solutions and managing expectations
Balancing client requests with platform integrity, security, and sustainability while representing company best interests
Requirements:
Bachelor’s or master’s degree in computer science, Mathematics, Statistics, Economics, Management Information Systems, or a related field
Strong proficiency in SQL for querying and data transformation
Experience using Python for backend development and/or data processing
Proven experience building or operating enterprise data platforms supporting complex analytics and diverse datasets
Hands-on experience with modern data platforms such as Snowflake or Databricks
Experience working with cloud platforms, preferably Azure, including compute, storage, and security concepts
Understanding of data governance and master data management concepts
Strong communication skills with the ability to collaborate across technical and non-technical teams