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Engineering Manager, Data Engineering

Attentive® is the AI-powered mobile marketing platform transforming the way brands personalize consumer engagement. Attentive enables marketers to craft tailored journeys for every subscriber, driving higher recurring revenue and maximizing campaign performance. Activating real-time data from multiple channels and advanced AI, the platform personalizes content, tone, and timing to help brands deliver 1:1 messages that truly resonate.


With a top-rated customer success team recognized on G2, Attentive partners with marketers to provide strategic guidance and optimize SMS and email campaigns. Trusted by leading global brands like GUESS, Urban Outfitters, and Steve Madden, Attentive ensures enterprise-grade compliance and deliverability, supporting trillions of interactions across more than 70 industries. To learn more or request a demo, visit www.attentive.com or follow us on LinkedIn, X (formerly Twitter), or Instagram.


Attentive’s growth has been recognized by Deloitte’s Fast 500Linkedin’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


You'll get competitive perks and benefits, from health & wellness to equity, to help you bring your best self to work.


For US based applicants:

- The US base salary range for this full-time position is $163,000 - $260,000 annually + equity + benefits

- Our salary ranges are determined by role, level, and location


#LI-FZ1


Attentive Company Values

Default to Action - Move swiftly and with purpose

Be One Unstoppable Team - Rally as each other’s champions

Champion the Customer - Our success is defined by our customers' success

Act Like an Owner - Take responsibility for Attentive’s success


Learn more about AWAKE, Attentive’s collective of employee resource groups.


If you do not meet all the requirements listed here, we still encourage you to apply! No job description is perfect, and we may also have another opportunity that closely matches your skills and experience.


At Attentive, we know that our Company's strength lies in the diversity of our employees. Attentive is an Equal Opportunity Employer and we welcome applicants from all backgrounds. Our policy is to provide equal employment opportunities for all employees, applicants and covered individuals regardless of protected characteristics. We prioritize and maintain a fair, inclusive and equitable workplace free from discrimination, harassment, and retaliation. Attentive is also committed to providing reasonable accommodations for candidates with disabilities. If you need any assistance or reasonable accommodations, please let your recruiter know. 

Average salary estimate

$211500 / YEARLY (est.)
min
max
$163000K
$260000K

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What You Should Know About Engineering Manager, Data Engineering, Attentive

At Attentive, our Engineering Manager, Data Engineering is pivotal in enhancing how brands engage with their audience using AI-powered solutions. Imagine leading a passionate team of engineers dedicated to building robust data warehouses that transform raw data into actionable insights. Here, you won't just manage projects but will shape the analytics backbone that supports key business strategies for esteemed clients like GUESS and Urban Outfitters. You'll collaborate closely with analysts and other internal teams to foster a culture of self-service analytics, effectively guiding the organization towards data-driven decisions. Your role also entails overseeing the team's growth, coaching members toward excellence in a fast-paced environment. We’re looking for someone with a curious mindset who enjoys exploring data solutions and has a solid foundation in data engineering best practices. You’ll stay updated on industry trends and continually inspire your team to innovate. With your expertise, you'll ensure timely, cost-effective delivery of critical datasets that empower teams across the board, making a significant impact on campaign effectiveness and customer success. As we grow and process billions of messages, your leadership will be integral to maintaining our high performance and quality standards. Join us at Attentive, where your contributions will help redefine mobile marketing for our global clientele. We value strong leadership, effective communication, and a genuine passion for data, making this role a great opportunity for seasoned data engineering professionals ready to take their careers to the next level!

Frequently Asked Questions (FAQs) for Engineering Manager, Data Engineering Role at Attentive
What does an Engineering Manager, Data Engineering do at Attentive?

As an Engineering Manager, Data Engineering at Attentive, you will lead a high-performing team to enhance our data warehouse, support the analytics needs of various departments, and help deliver actionable insights that drive our mobile marketing solutions. You will also foster partnerships across teams and guide them towards adopting best data practices.

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What qualifications are required for the Engineering Manager, Data Engineering position at Attentive?

To qualify for the Engineering Manager, Data Engineering role at Attentive, candidates should have at least 7 years of experience in business intelligence or data engineering and a proven track record of managing teams. Strong SQL skills, an understanding of data warehousing concepts, and exceptional communication abilities are also crucial.

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What is the work culture like for the Engineering Manager, Data Engineering at Attentive?

The work culture at Attentive is collaborative and dynamic. As an Engineering Manager in Data Engineering, you'll be part of a team that champions innovation and embraces a data-driven approach to decision-making. We prioritize team cooperation and celebrate diverse perspectives to foster an inclusive environment.

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What benefits and perks are offered to an Engineering Manager, Data Engineering at Attentive?

Attentive offers competitive perks for the Engineering Manager, Data Engineering position, including health and wellness benefits, equity, and support for work-life balance. Additionally, we prioritize ongoing professional development and a collaborative workplace for all employees.

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How does Attentive support diversity and inclusion within the engineering team?

Attentive is committed to diversity and inclusion, ensuring fair and equitable workplace practices. Our engineering team benefits from the collective strength that a diverse workforce brings, and we actively support employee resource groups, fostering a supportive community.

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How can an Engineering Manager, Data Engineering contribute to Attentive’s growth?

An Engineering Manager, Data Engineering at Attentive can contribute significantly to our growth by leading effective data strategies, optimizing our data infrastructure, and driving innovation. Your leadership will empower teams to leverage data effectively, enhancing our overall mobile marketing capabilities.

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What tools and technologies does the Engineering Manager, Data Engineering at Attentive use?

In the Engineering Manager, Data Engineering role at Attentive, you will utilize various tools and technologies, including Python, SQL, Snowflake, Looker for data visualization, and AWS for cloud services. Familiarity with data processing platforms like Spark and Kinesis will also be beneficial.

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Common Interview Questions for Engineering Manager, Data Engineering
Can you describe your experience leading data engineering teams?

When answering this question, focus on specific examples of your leadership style, the challenges you've faced, and how you motivated your team. Highlight any successful projects you've led and how you fostered a collaborative environment.

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What is your understanding of data warehousing concepts?

Outline your knowledge of data warehousing fundamentals, such as ETL processes, data modeling, and performance optimization. Use specific examples from your previous roles that demonstrate your practical experience with these concepts.

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How do you stay current with data engineering trends and technologies?

Discuss the resources you use to keep updated, such as industry blogs, webinars, conferences, and relevant communities. Highlight any personal projects or learning initiatives that show your commitment to professional growth.

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What strategies do you use to ensure effective communication within your team?

Share your methods for fostering open communication such as regular check-ins, feedback loops, and the use of collaborative tools. Discuss how these strategies have positively impacted team dynamics and project outcomes.

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How do you approach problem-solving in a data-driven environment?

Describe your analytical thought process, including how you identify issues, analyze data to understand root causes, and develop actionable solutions. Provide examples that illustrate your approach and the results achieved.

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What experience do you have with SQL query optimization?

Discuss your experience with SQL performance tuning techniques, such as indexing and query rewriting. Provide specific instances where you've successfully optimized queries to improve efficiency and performance.

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Tell us about a challenging project you've managed.

Select a project that was technically challenging and required cross-functional collaboration. Discuss the scope, challenges faced, and how your leadership guided the team to successful completion.

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How do you prioritize tasks when managing multiple projects?

Describe your strategies for prioritization, like using methodologies such as Agile or Kanban. Share how you balance urgent tasks with long-term goals while ensuring your team's workload is manageable.

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Can you give an example of how you’ve helped a team member grow?

Discuss a specific example where you mentored or coached a team member, outlining the approach you used and the impact on their growth. This shows your capability as an effective people manager.

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What is your perspective on collaboration between data engineering and other departments?

Emphasize the importance of cross-departmental collaboration and provide examples of successful partnerships with teams like product management or customer success. Highlight how this synergy can drive better outcomes.

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Create magical conversations. DEFAULT TO ACTION - Speed is our best offense and defense -We don't wait for opportunities to come to us, we create them through our proactive mindset. -We believe in making quick decisions, executing strategies, and...

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CULTURE VALUES
Passion for Exploration
Dare to be Different
Customer-Centric
Diversity of Opinions
Inclusive & Diverse
DEPARTMENTS
SENIORITY LEVEL REQUIREMENT
TEAM SIZE
EMPLOYMENT TYPE
Full-time, on-site
DATE POSTED
November 24, 2024

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