Title:  Senior Data Engineer - Remote

Summary:

We are seeking highly skilled technical Data Engineering team members who are eager to push their limits to deliver best-in-market SaaS solutions. We offer a challenging environment where you will need to grow, adapt, and consistently apply your skills. Success will be the reward as we build solutions for the moments that matter for our customers. 

The Senior Data Engineer is responsible for delivering results by: 

• Designing, implementing, and maintaining the data architecture to ensure optimal performance and centralized integration with various data sources.  
• Working with leadership to envision and implement centralized data solutions required to deliver our best-of-class products into a SaaS environment. 
• Ensuring that data pipelines are secure, fast, modeled, accessible, and work seamlessly with our multiple lines of software. 
• Actively participating in the engineering process and anticipating future needs. 

Responsibilities:

• Design and implement end-to-end scalable centralized data solutions that meet business requirements and align with the company’s data strategy. 
• Advance Engineering’s Cloud Data Architecture by creating and implementing the data centralization architecture standards and artifacts, including data ingestion, ETL, warehousing, calculations, and consumption. 
• Collaborate with the Engineering team to develop the data architecture, help build their backlog, and adjust the design of both the data architecture and the client software as necessary.  
• Collaborate on setting, communicating, and governing technical standards and practices of data centralization to align with DFIN’s data strategies.  
• Research and create business justifications for data architecture components and technology choices. 
• Collaborate with data engineers, analysts, delivery teams, and other stakeholders to define data requirements and establish best practices. 
• Optimize data storage, retrieval, and distribution to enhance performance and efficiency. 
• Develop and enforce data policies and procedures to ensure data security and compliance with regulatory standards. 
• Flexibility to adjustments and changes in direction as business environment and technology evolves and changes.  As such, deliver solutions in small steps, with incremental feedback loops from stakeholders. 

Qualifications:

• 10+ years of software development of commercial-grade data-driven systems and applications with a proven track record. 
• Bachelor’s Degree or equivalent in Computer Science or related disciplines.  
• Strong focused experience in data centralization, strong analytical skills, and the ability to work collaboratively with cross-functional teams. 
• Extensive knowledge of various relational database technologies, including SQL Server (on-prem and all versions of cloud), Oracle, PostgreSQL. 
• Working knowledge of various NoSQL database technologies, including Cosmos, MongoDB, Apache Cassandra, Redis, etc. 
• Knowledge and proven experience with various Orchestration, Warehousing, Analysis, Visualization, and Consumption techniques and tools, including Azure Databricks, Tableau, Power BI, and others. 
• Hands-on knowledge of multiple data strategies, data lakes, warehousing, and centralization techniques, including ETL/ELT solutions. 
• Extensive knowledge and experience with cloud-based data warehousing technologies, including Data Factory, SSIS, Synapse, and Analysis Services. Or examples like, AWS Redshift, Google Big Query, and others. 
• Strong technical understanding of the Microsoft technology stack. 
• Proven experience assessing business requirements. 
• Strong leadership skills and ability to perform under pressure to deliver complex technical solutions. 
• Strong experience writing technical documentation. 
• Knowledge of and adherence to Software Development Life Cycle best practices. 
• Well-versed in data governance, data quality, and data security practices. 
• Excellent problem-solving skills and attention to detail.