Sr Data Engineer
Job Description
Senior Data Engineer – Data Platforms & Analytics
A leading organization in the financial services industry is seeking a Senior Data Engineer to drive modernization of data infrastructure, enhance data capabilities, and support strategic analytics initiatives within a data-driven culture.
Role Overview
The Senior Data Engineer will own the evaluation, enhancement, and management of enterprise data platforms, partnering with cross-functional teams to implement innovative cloud-based solutions, ensure data quality, and optimize system performance. This role will shape data governance standards and support advanced analytics, empowering organizational decision-making and operational efficiency.
Key Responsibilities
- Manage, evaluate, and optimize existing finance-related data platforms, leveraging emerging technologies, cloud services, and best practices to improve scalability, security, and data accessibility.
- Lead efforts to modernize data infrastructure, including migrating data to cloud platforms such as Snowflake, Microsoft Fabric, or similar, ensuring robust data processing capabilities.
- Develop, implement, and maintain standards and procedures for data governance, data integration, quality assurance, and lifecycle management to ensure data consistency, accuracy, and timeliness across data assets.
- Design, build, and support scalable ETL/ELT pipelines and data models that support data warehousing, reporting, and analytics initiatives.
- Collaborate with IT, Business Units, and senior management to align data strategies, foster a data-driven culture, and support organizational goals.
- Monitor, troubleshoot, and optimize data systems and workflows, identifying opportunities for process improvements and system performance enhancements.
- Integrate structured and semi-structured data formats such as JSON and XML, and work with APIs for seamless data ingestion.
- Automate workflows using Python and manage source control with Git or similar tools to ensure reliable and repeatable data processes.
- Maintain a strong understanding of relational databases, data management systems, and performance tuning best practices.
- Stay informed on AI and large language model technologies to explore potential data application integrations.
Core Qualifications & Requirements
- Bachelor’s degree in Computer Science, Data Science, or related field preferred.
- Minimum of five years of experience in senior data engineering, database architecture, or data platform management.
- Proven expertise designing and maintaining data pipelines, data warehouses, and analytical models.
- Advanced SQL development, data modeling, and performance tuning skills.
- Experience working with cloud-based data platforms and services, such as Snowflake, Microsoft Fabric, or similar.
- Proficiency in Python scripting for automation and data processing tasks.
- Familiarity with API integration, JSON, XML, and other structured/semi-structured data formats.
- Experience with version control systems such as Git.
- Strong understanding of data governance, security, and lifecycle management.
- Experience working within Agile development frameworks.
Nice-to-Have Qualifications
- Industry certifications in database management or cloud platforms.
- Knowledge of finance, ERP systems, or financial reporting tools.
- Experience with law firm or professional services application databases, such as Aderant Expert, Foundation, or iManage.
- Familiarity with third-party database monitoring and diagnostics tools.
- Exposure to artificial intelligence and large language models.
Core Technical Skills
- Cloud Data Platforms: Snowflake, Microsoft Fabric, cloud migration, cloud security
- Data Pipeline Development: ETL, ELT, Apache Airflow, DataOps
- Data Modeling & Warehousing: Kimball, dimensional modeling, star schema
- Programming & Automation: Python, scripting, automation frameworks
- Database Technologies: SQL, relational databases, performance tuning
- Data Formats & APIs: JSON, XML, RESTful APIs
- Version Control: Git, source control management
- Data Governance & Security: Data quality, lifecycle management, compliance
- AI & Machine Learning: Large language models, data science integrations
Career Impact
This role offers the opportunity to lead enterprise data modernization initiatives that significantly impact data quality, analytics capabilities, and strategic decision-making in a dynamic, innovative environment.
Compensation and Benefits
Competitive salary based on experience, comprehensive benefits package, including health, dental, vision, and 401(k), flexible PTO, and professional development opportunities.
Apply Today!
Join a forward-thinking organization where your expertise will shape data transformation and innovation—apply now to make a meaningful impact.
The Phoenix Group Advisors is an equal opportunity employer. We are committed to creating a diverse and inclusive workplace and prohibit discrimination and harassment of any kind based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We strive to attract talented individuals from all backgrounds and provide equal employment opportunities to all employees and applicants for employment.
Meet Your Recruiter
Cassie DiPierdomenico
Senior Principal Recruiter
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