Data Engineering Manager, Analytics

TieTalent; New York (NY); On-site; USD 173,000 - 242,000; Full time

Job summary

An innovative company is seeking a Data Engineering Manager to lead a talented team in building data architecture that drives insights and product direction. This role offers the chance to work with cutting-edge technology and one of the richest data sets globally, directly impacting user satisfaction and company growth. The ideal candidate will possess strong operational skills, a proven track record in BI and Data Warehousing, and the ability to foster collaboration among cross-functional teams. If you are passionate about data and eager to make a significant impact, this opportunity is for you.

Qualifications

• 8+ years of experience in BI and Data Warehousing.
• Experience scaling and managing teams of 3+ people.
• Strong communication and leadership skills.

Responsibilities

• Drive the vision for BI and Data Warehousing across product verticals.
• Manage data warehouse plans and ensure data quality.
• Build cross-functional relationships to meet data needs.

Skills

Data Engineering

Business Intelligence (BI)

Data Warehousing

Project Management

SQL

Python

Team Leadership

Education

BA/BS in Computer Science

Advanced Degree

Tools

Hadoop

Data Visualization Tools

Job description

Summary:

Do you want to use data to help drive the direction of products that impact the lives of over 1 billion people every day? If yes, we want to talk to you. We're looking for a leader in our Data Engineering team to work closely with Product Managers, Data Scientists and Software Engineers to support product launches and roadmaps by building the data architecture that informs and drives insight. In this role, you'll see a direct link between your work, company growth, and user satisfaction. You'll work with some of the brightest minds in the industry, work with one of the richest data sets in the world, use cutting edge technology, and see your efforts affect products and people on a regular basis.

The perfect candidate will have strong data infrastructure and data architecture skills, a proven track record of leading and scaling BI teams, strong operational skills to drive efficiency and speed, strong project management leadership, and a strong vision for how BI can proactively improve companies.

Required Skills:

Data Engineering Manager, Analytics Responsibilities:

Proactively drive the vision for BI and Data Warehousing across a product vertical, and define and execute on a plan to achieve that vision.

Define the processes needed to achieve operational excellence in all areas, including project management and system reliability.

Build a high-quality BI and Data Warehousing team and design the team to scale.

Build cross-functional relationships with Data Scientists, Product Managers and Software Engineers to understand data needs and deliver on those needs.

Manage data warehouse plans across a product vertical.

Drive the design, building, and launching of new data models and data pipelines in production.

Drive data quality across the product vertical and related business areas.

Manage the delivery of high impact dashboards and data visualizations.

Define and manage SLA’s for all data sets and processes running in production.

Minimum Qualifications:

Minimum Qualifications:

8+ years of experience in BI and Data Warehousing.

Experience scaling and managing 3+ person teams.

Communication and leadership experience, with experience initiating and driving projects.

Project management experience.

Data architecture experience.

Experience in SQL or similar languages.

Development experience in at least one object-oriented language (Python, Java, etc.).

BA/BS in Computer Science, Math, Physics, or other technical fields.

Preferred Qualifications:

Preferred Qualifications:

Experience in a consumer web or mobile company.

Experience with data sets, Hadoop, and data visualization tools.

Advanced degree

Public Compensation:

$173,000/year to $242,000/year + bonus + equity + benefits

Industry:

Internet

Equal Opportunity:

Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at [e-mail].