Senior Data Management Professional – Macro Industries – ESG TPD/GOVS

USD 110,000-190,000 per year

SENIOR

✅ On-site

Tech Stack
Tag name is followed by "@" symbol and proficiency level value. About proficiency levels:

1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;

3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;

7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;

10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.

Agile @ 4 Communication @ 6 Data Analysis @ 4 Data Engineering Data Modeling @ 4 Data Visualization ETL NoSQL @ 6 Project Management @ 4 Python @ 6 SQL @ 6 Software Development @ 4

Details

Bloomberg's Data organization delivers data, news, and analytics through innovative technology. The Macro Industries – SFS TPD data team supports Sustainable Finance Solutions Third Party Data by acquiring, processing, validating, and storing environmental, social, and governance data using open-source, third-party, and proprietary technology.

The Data Management Professional role is responsible for optimizing data for clients and improving data operations. The role acts as a technical leader by setting strategies for data products, developing interconnected data models, designing data schemas and pipelines, and ensuring data integrity. Specialty areas include statistical analysis and data visualization, data engineering, product ownership, data modeling, and data quality.

Responsibilities

Design and implement data workflows that integrate structured and unstructured datasets while maintaining robust quality controls.
Develop database schemas and ETL processes to efficiently onboard and process new datasets.
Analyze metadata and internal processes to identify and implement innovative improvements.
Establish data governance standards and best practices, including business rules for programmatic data validation based on market conventions.
Build comprehensive data quality monitoring and reporting systems using statistical analysis and visualization techniques.
Collaborate with Engineering and Product teams to develop and execute client-focused data strategies.
Mentor technical team members and promote best practices across the organization.

Requirements

Bachelor's degree or higher in STEM or a relevant data technology field, or equivalent professional work experience in software development.
At least 4 years of professional experience programming and scripting in Python production environments.
At least 4 years of experience working with SQL or NoSQL databases.
Understanding and experience with data modeling.
Excellent written and verbal communication skills, including the ability to explain sophisticated technical concepts to different stakeholders.

Preferred Qualifications

Curiosity in problem solving, particularly in modifying and improving processes and workflows.
Strong attention to detail and proven decision-making ability.
Experience in information technology, project management, engineering, data analysis, or research.
Experience working in an agile development team.
Strong passion for data, technology, and finance.
Ability to work under pressure in an often-changing environment.
Ability to work independently and as part of a team.
Ability to influence others and lead change.

Benefits

Benefits may include merit increases, incentive compensation for exempt roles, paid holidays, paid time off, medical, dental, and vision coverage, short- and long-term disability benefits, a 401(k) match, life insurance, and wellness programs.