IT Data Engineering Manager

Job Summary:

The IT Data Engineering Manager is expected to use their strong business acumen and leadership skills to effectively guide the Data Engineering team to work with business partners to understand their data needs and develop technical designs and requirements to meet those needs. This role manages the Data Engineering team to take the lead in helping to identify, organize and report on the Firm's valuable data assets to achieve better operational efficiencies, and provide better services to its clients through data-driven insights and actions. This role, in collaboration with data architects and other IT teams (such as, Business Analysts and Project Managers), will help develop standard processes, procedures, and guidelines to ensure the effective and efficient delivery of sustainable data solutions based on timely provision of requirements, following design standards/best practices, and appropriate IT and user testing. Finally, this role provides support in developing strategies, policies, and governance models to ensure data remains accurate, timely, and relevant to the Firm's goals.

Job Duties:

• Ensures Data Engineering team is working effectively with stakeholders and data architects to appropriately define and design data solutions to support the Firm's data initiatives
• Continually increases maturation of Data Engineering practices and processes to ensure proper level of planning, controls, documentation, and monitoring is in place to deliver high quality, sustainable work products
• Collaborates with project managers to provide effort estimates, and provides technical leadership in solution design and requirements
• Acts as a subject matter expert and catalyst to educate on the Firm's data platforms, and best practices as they relate to the usage and hygiene of the Firm's data assets
• Meets regularly with line of business customers to gain a better understanding of their business processes and of the customer's evolving data needs in order to identify potential data-related projects
• Works with data scientists and developers to use emerging and advanced technologies such as, artificial intelligence and machine learning to identify and extrapolate hidden patterns and trends, increasing the value of the Firm's data
• Builds and maintains constructive working relationships with project team members, vendors, and other departments involved with projects, systems, and IT strategies
• Ensures data governance principles are followed through the course of day-to-day data usage, and solution design
• Identifies and executes continuous improvement efforts regarding data operations to ensure the Firm's data remains accurate and timely
• Works closely with the Information Security and Compliance teams to ensure the Firm's data strategy, and technologies meet or exceed both internal policies and external regulatory requirements
• Collaborates with BDO Global and other BDO member firms to ensure standards between organizations are followed in support of reusable models and rapid deployment of shared technology
• Understands and follows project management basics and project management office policies and procedures
• Other duties as required

Supervisory Responsibilities:

• Supervises Data Engineering team members

Qualifications, Knowledge, Skills and Abilities:

Education:

• High School Diploma or GED, required
• Bachelor's degree in Computer Science, Information Management, Mathematics, or Statistics, preferred

Experience:

• Demonstrable proficiency in successfully leading other developers in delivering complex data integration solutions, (required)
• Six (6) or more years working as a data engineer, analyst, or extract/transform/load (ETL) developer, required
• Three (3) or more years working with PowerBI, Tableau, or similar data visualization products, required
• Demonstrable proficiency in developing and understanding custom, and ad-hoc SQL queries, required
• Three (3) or more years working within commercial cloud platforms such as Amazon Web Services, or Microsoft Azure, preferred
• Experience working within a large, complex enterprise with significant regulatory and compliance requirements, preferred
• Professional service firm experience, preferred

License(s)/Certification(s):

• N/A

Software:

• Strong proficiency in the use of Microsoft Office suite, specifically Excel, required

Language(s):

• N/A

Other Knowledge, Skills & Abilities:

• Strong ability to mentor and coach data engineers in their development and support activities
• Ability to effectively negotiate work request priorities with business requesters while maintaining good working relationships
• Strong analytical, organizational, and problem-solving skills
• Excellent written communication skills, maintaining accurate documentation, and technical authorship of complex documents
• Ability to facilitate meetings efficiently and effectively
• Ability to follow an issue through to its logical conclusion, and escalate as necessary
• Ability to work independently as well as part of a team, including providing technical leadership to less experienced colleagues
• Excellent interpersonal and customer relationship skills
• Ability to work in a deadline-driven environment, while handling multiple complex projects/tasks simultaneously with a focus on details
• Ability to work well under pressure while dealing with unexpected issues in a professional manner
• Ability to work after hours and weekends as needed
• Ability to travel as needed

Individual salaries that are offered to a candidate are determined after consideration of numerous factors including but not limited to the candidate's qualifications, experience, skills, and geography.

National Range: $142,500 - $157,000
California Range: $142,500 - $157,000
Colorado Range: $142,500 - $157,000
Illinois Range: $142,500 - $157,000
Maryland Range: $142,500 - $157,000
Minnesota Range: $142,500 - $157,000
New Jersey Range: $142,500 - $157,000
NYC/Long Island/Westchester Range: $142,500 - $157,000
Washington Range: $142,500 - $157,000
Washington DC Range: $142,500 - $157,000