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Data Engineering Manager, AIM, Enterprise Platform

Google

Data Engineering Manager, AIM, Enterprise Platform

Google

·

On-site

·

Full-time

·

1w ago

  • Align executive cross-functional Ads stakeholders on a cross-functional process and discipline for the quantitative attribution of impact on key product initiatives.

  • Provide thought leadership to executive leadership through proactive contributions; consistently using insights and analytics to drive decisions and alignment throughout the product organization.

  • Define and report key performance indicators and launch impact as part of regular business reviews and contribute to metric-backed annual quarterly objectives and key results (OKR) setting.

  • Build an understanding of the data sets used by Enterprise Platforms and partner teams, collaborating with Engineering teams to identify and address instrumentation gaps, ensuring accurate data collection for key functionalities, with a focus on our most impactful features.

  • Anticipate and address issues as a trusted authority and critical domain expert. Conducting end-to-end problem-solving, including analysis and business cases.

  • Bachelor's degree or equivalent practical experience.

  • 10 years of experience working with data infrastructure and data models by performing exploratory queries and scripts.

  • 5 years of experience coding in one or more programming languages, and designing data pipelines, and dimensional data modeling for synch and asynch system integration and implementation using internal and external stacks.

  • 3 years of experience in a leadership role (e.g., technical leadership or people management, supervision, or team leadership).

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About Google

Google

Google

Public

Google specializes in internet-related services and products, including search, advertising, and software.

10,001+

Employees

Mountain View

Headquarters

$1,700B

Valuation

Reviews

3.7

25 reviews

Work-life balance

3.8

Compensation

4.2

Culture

3.4

Career

3.9

Management

2.8

68%

Recommend to a friend

Pros

Excellent compensation and benefits

Smart and talented colleagues

Great perks and work flexibility

Cons

Management and leadership issues

Bureaucracy and slow processes

Constantly changing priorities and reorganizations

Salary Ranges

57,502 data points

Junior/L3

L3

L4

L5

L6

L7

L8

Mid/L4

Principal/L7

Senior/L5

Staff/L6

Director

Junior/L3 · Data Scientist L3

0 reports

$176,704

total per year

Base

-

Stock

-

Bonus

-

$150,298

$203,110

Interview experience

9 interviews

Difficulty

3.4

/ 5

Duration

14-28 weeks

Offer rate

44%

Experience

Positive 0%

Neutral 56%

Negative 44%

Interview process

1

Application Review

2

Online Assessment/Technical Screen

3

Phone Screen

4

Onsite/Virtual Interviews

5

Team Matching

6

Offer

Common questions

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

Product Sense