Engineering Manager, Data Engineering - Attentive

Job Title: Engineering Manager, Data Engineering
Job Location: United States
Job Listing URL: https://jobs.lever.co/attentive/41047fab-6ffe-4ddc-97b8-62ec4fe00b8a
Job Description: At Attentive, we're revolutionizing the way businesses connect with their customers. Our AI-driven marketing platform infuses intelligence into every stage of the consumer journey, helping brands deliver hyper-personalized messages at scale. With a mobile-first approach, engaging two-way conversations, and enterprise-grade technology, we're driving billions in online revenue for leading brands worldwide, including CB2, Urban Outfitters, GUESS, Long John Silver’s, and Wyndham Resort. But we're not just about SMS and email—by expanding our AI capabilities to enhance multiple products and channels, our goal is to help make every interaction more meaningful. As a member of our team, you'll be at the forefront of this innovation, helping to shape the future of customer communication.

Attentive’s growth has been recognized by Deloitte’s Fast 500, Linkedin’s Top Startups and Forbes Cloud 100 all thanks to the hard work from our global employees!

Who we are
BI at Attentive is a centralized team of engineers and analysts responsible for analyzing large datasets, generating valuable insights, and providing data-driven recommendations to support decision-making.

As an Engineering Manager on the BI Engineering team, you will lead a team of high performing engineers to support the organization’s data warehouse, metrics, and reporting needs. You’ll help build and shape the backbone for analytics needs across the organization. You’ll partner with Analysts, Data & ML Engineers, as well as other internal teams to define and shape self-service analytics and a data-driven organization. You’ll also support the relationship between the BI/Analytics teams and Engineering as we build out a world-class data warehouse for our business and customers.
Why Attentive needs you
Build cross functional partnerships with data producers and consumers. Guide and influence peer teams to adopt best practices when and where needed
Partner with leaders across the team to understand needs to support strategy planning, new initiatives, and ongoing operations. Own ideation and execution of data-driven solutions
Oversee a high performing team to meet BI Engineering needs across the organization. Determine roles and responsibilities. Coach team members to higher levels of performance and execution. Manage high priority, fast moving projects with multiple stakeholders
Deliver trusted, timely, cost efficient, & performant datasets & instrumentation answering critical business needs
Keep abreast of emerging technologies, best practices, and industry trends in data engineering and software development
About you
7+ years in business intelligence/data engineering roles supporting multiple stakeholders
Experience managing and coaching 3+ direct reports for growth and success in a fast paced environment
Exceptional written and oral communication skills. Experience building presentations and presenting findings to executive audience. Experience using, writing and optimizing SQL queries in a business environment
Strong working knowledge of data engineering best practices & data warehousing concepts.
You are an effective people manager, who can manage high-performing teams, and helps them reach their highest potential
You have an inherent curiosity and analytic follow-through; you can’t help but ask “why?” and love using data and logic to explore potential solutions
Our scale
8,000 brands powered by Attentive sent over 2.2 billion text messages over Cyber Week 2023 (Black Friday/Cyber Monday) representing a growth of 31% from 2022
We sent 32 billion SMS messages in 2023, up 32% YoY. That’s an average of 87 million per day
Our production cluster contains over 18,000 containers which serve 200+ services
Our streaming services process over 80 billion events per month
Our environment
We have access to Python, Snowflake, SQL, DBT
Our data visualization tool is Looker
Our product backend is Java and Python microservices coupled with Spark, Kinesis, Airflow, Snowflake, and Postgres, all hosted on AWS
Our team supports stakeholders from Customer Success, Product Management, Sales, Marketing, Finance, Engineering, Designers and the Leadership Team
We believe our company will win in the long run through product innovation and data-driven decision-making