Senior Data Solutions Engineer

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.

Responsibilities for the Senior Data Solutions Engineer include:

·      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.

Qualifications for the Senior Data Solutions Engineer include:

·      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.

Compensation for the Senior Data Solutions Engineer includes:

·      Salary range is ($140,000 – $180,000) + bonus dependent on experience

·      Comprehensive benefits package

Keywords

Data Engineering, Data Analytics, SQL, Python, Snowflake, Databricks, Azure, CI/CD, GitHub, Docker, Microservices, Data Platform, Cloud, Data Governance, Financial Technology, Enterprise Data Systems

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