The Lead Data Engineer is responsible for providing technical leadership in data-related application development, data movement, enterprise data storage, and supporting AI/ML initiatives all leveraging cloud-based solutions. This role requires an enterprise mindset to build out robust, high-performance solutions and the ability to clearly communicate technical details within and outside of the team.
Duties and Responsibilities, aligned with Key Results:
People
- Use a variety of programming languages and tools to develop, test, and maintain data engineering and AI/ML solutions within the Platform Reference Architecture with a focus on Python, AWS and/or Azure and using best practices.
- Working directly with management, product teams and practice personnel to understand their platform data requirements.
- Maintaining a positive work atmosphere by behaving and communicating in a manner that encourages productive interactions with customers, co-workers and supervisors.
- Developing and engaging with team members by creating a motivating work environment that recognizes, holds team members accountable, and rewards strong performance.
- Fostering an innovative, inclusive and diverse team environment, promoting positive team culture, encouraging collaboration and self-organization while delivering high quality solutions
Client
- Collaborating on an Agile team to design, develop, test, implement and support highly scalable data solutions.
- Collaborating with product teams and clients to deliver robust cloud-based data solutions that drive tax decisions and provide powerful experiences.
- Analyzing user feedback and activity and iterate to improve the services and user experience.
Value
- Providing effective technical leadership to design, collaborate and lead the implementation for various data engineering and AI/ML supporting initiatives.
- Securing data in alignment with internal information and data security policies, best practices and client requirements
- Creating and implementing robust cloud-based data solutions that scale effectively, and provide powerful experiences for both internal teams and clients.
- Performing unit tests and conducting reviews with other team members to make sure solutions and code are rigorously designed, elegantly coded and effectively tuned for performance.
Education and Experience:
- Bachelor s and/or master s degree in a related field
- 7+ years of experience developing data technologies.
- 7+ years of experience deploying ETL solutions in production environments.
- 7+ years of experience with cloud-based data services, preferably in AWS or Azure.
- 7+ years of experience developing Python, Scala, Java, .Net or similar solutions in a backend or data wrangling capacity.
- 7+ years of experience in mixed Windows/Linux environments.
Additional Required Skills and Experience:
- Results-proven track record of exceeding goals and evidence of the ability to consistently make good decisions through a combination of analysis, experience and judgment.
- Fluency in AWS or Azure, especially on data storage, data movement, and AI/ML related services
Fluency in one or more databases, preferably OLAP, OLTP and NoSQL is a plus.
Experience with distributed data platforms is a plus.
Exposure to AI/ML pipelines
Experience deploying, monitoring, and maintaining data pipelines in production environments
Computer Skills:
To perform this job successfully, an individual must have intermediate knowledge of Microsoft Project, Word, Excel, Access, PowerPoint, Outlook, and Internet navigation and research.
Supervisory Responsibilities:
Requires supervisory responsibilities, including training employees, assigning work, and assuring quality throughout any deliverables.
Work Environment:
Standard indoor working environment.
Occasional long periods of sitting while working at computer.
Position requires regular interaction with employees at all levels of the Firm and interface with external vendors as necessary.
Independent travel requirement: As Needed
