Position: Lead Data Engineer Location: Hybrid Role (50% onsite monthly) Denver, CO Duration: Full-Time, Permanent Hire (Sponsorship Not Available)
The Lead Data Engineer works as part of the Enterprise Data Team and will be responsible for developing Data Integration solutions in support of a critical data platform. The Lead Data Engineer plays a key role in the journey the Client to develop a leading Wealth Management Platform. This position will have extensive contact with multiple application development teams and other shared services teams. Essential Duties and Responsibilities:
Responsible for developing highly optimized low latency Data Integration solutions.
Responsible for writing code which conforms to standards and best practices and is highly efficient.
Responsible for understanding deeply the end to end data requirements, application and service requirements and designing end to end data solutions.
Responsible for periodically supporting a 24x7 production data platform which is consumed by multiple enterprise applications.
Work with other Data Engineers, Development and Production DBA s as part of Database Design and Development.
Performs other duties and responsibilities as assigned.
Knowledge of:
Experience with Oracle Data Integrator or Informatica is a plus.
Experience with AWS is a plus.
Experience with Search Platforms like SOLR is a plus.
Understanding of Master Data Management (MDM) principles is a plus.
Financial Services Industry knowledge is a plus.
Skill in:
Must have relevant experience in various database platforms, ETL solutions/products, ETL Architecture.
Expert level experience with Oracle(or similar DB platforms), ETL Architecture and Development.
Expert Level experience in Performance Optimization of ETL and Database (Oracle SQL, PLSQL or similar)
Expert level experience with efficient Data Integration patterns/technologies.
Experience in building low latency Data Integration solutions.
Ability to:
Identify and understand issues, problems and opportunities; compare data from different sources to draw conclusions.
Clearly convey information and ideas through a variety of media to individuals or groups in a manner that engages the audience and helps them understand and retain the message.
Use effective approaches for choosing a course of action or developing appropriate solutions; recommend or take action that is consistent with available facts, constraints and probable consequences.
Demonstrate a satisfactory level of technical and professional skill or knowledge in position-related areas; remains current with developments and trends in areas of expertise.
Develop and use collaborative relationships to facilitate the accomplishment of work goals.
Make internal and external clients and their needs a primary focus of actions; develop and sustain productive client relationships.
Occasionally work a non-standard shift including nights and/or weekends and/or have on-call responsibilities.
Education/Previous Experience:
Minimum of a Bachelor s degree in Computer Science, MIS or related degree and five (5) years of relevant development or engineering experience or combination of education, training and experience.
As a member of the company’s information technology team, the Data Engineer is responsible for development, monitoring, and deployment of technology components. The position will participate in requirement specifications with the business and will contribute to the technical design and implementation of the evolving enterprise software and data solutions. The Data Engineer will work proactively with business partners and technical counterparts to understand software and data requirements and will own the development required to implement the solution.
