Data Engineering Manager, Analytics

Meta

Meta builds technologies that help people connect, find communities, and grow businesses.

Warsaw, Poland

Data

Staff Software Engineer

In-Person

5,000+ Employees

8+ years of experience

AI · Enterprise SaaS

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Description For Data Engineering Manager, Analytics

Meta is seeking a Data Engineering Manager for Analytics to lead their BI and Data Warehousing team. This role involves driving the vision for BI across product verticals, building high-quality teams, and working closely with cross-functional partners. The ideal candidate will have 8+ years of experience in BI and Data Warehousing, strong leadership skills, and technical expertise in SQL and object-oriented programming.

As a Data Engineering Manager, you'll be responsible for:

Developing and executing BI and Data Warehousing strategies
Defining processes for operational excellence
Building and scaling high-performing teams
Managing data warehouse plans and driving data quality
Designing and implementing new data models and pipelines
Delivering impactful dashboards and visualizations
Setting and managing SLAs for data sets and processes

You'll work with cutting-edge technology and one of the world's richest data sets, directly impacting products used by over 1 billion people daily. This role offers the opportunity to see a clear link between your work, company growth, and user satisfaction.

Meta offers a dynamic work environment, collaborating with some of the brightest minds in the industry. They're committed to building technologies that help people connect, find communities, and grow businesses, including ventures into augmented and virtual reality.

If you're passionate about using data to drive product direction and have a strong background in data engineering and team leadership, this role at Meta could be your next career-defining opportunity.

Last updated 6 months ago

Responsibilities For Data Engineering Manager, Analytics

Proactively drive the vision for BI and Data Warehousing across a product vertical
Define processes for operational excellence in 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
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

Requirements For Data Engineering Manager, Analytics

Python

Java

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

Meta

Meta builds technologies that help people connect, find communities, and grow businesses.

Warsaw, Poland

Data

Staff Software Engineer

In-Person

5,000+ Employees

8+ years of experience

AI · Enterprise SaaS

Meta

Snapshot Array

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Implement a SnapshotArray that supports the following interface: SnapshotArray(int length) initializes an array-like data structure with the given length. Initially, each element equals 0. void set(index, val) sets the element at the given index to be equal to val. int snap() takes a snapshot of the array and returns the snap_id: the total number of times we called snap() minus 1. int get(index, snap_id) returns the value at the given index, at the time we took the snapshot with the given snap_id For example: Input: [SnapshotArray,set,snap,set,get] [[3],[0,5],[],[0,6],[0,0]] Output: [null,null,0,null,5] Explanation: SnapshotArray snapshotArr = new SnapshotArray(3); // set the length to be 3 snapshotArr.set(0,5); // Set array[0] = 5 snapshotArr.snap(); // Take a snapshot, return snap_id = 0 snapshotArr.set(0,6); snapshotArr.get(0,0); // Get the value of array[0] with snap_id = 0, return 5 What data structures and algorithms are best suited for this problem? What are the time and space complexities of each operation?

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Binary Search

Meta

How would you design a duplicate file finder, discussing complexity, optimizations, and trade-offs?

System DesignHard

Let's design a system utility to find duplicate files on a given file system. The utility should traverse a directory, compute a hash for each file, and identify duplicates based on these hashes. Discuss the algorithmic complexity, potential optimizations, and trade-offs between CPU and RAM usage. What is the theoretical best performance we can achieve?

Arrays

Strings

Greedy Algorithms

Dynamic Programming

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Meta

Tell me about a time you disagreed with a manager.

Behavioral

Tell me about a time you disagreed with a manager. What was the situation, and how did you handle it? What was the outcome, and what did you learn from the experience? For example, perhaps you had a disagreement about project priorities, a technical approach, or a team management style. It could be a situation where you felt strongly about a different course of action and had to navigate the disagreement professionally. Describe the specific steps you took to communicate your perspective, understand your manager's viewpoint, and reach a resolution. What factors did you consider in deciding how to approach the situation, and what alternative approaches did you consider? How did you ensure that the disagreement didn't negatively impact your working relationship or the overall team dynamic? What would you do differently in a similar situation in the future?

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