Manager, Software Engineering - Data Engineering

Position Title: Manager, Software Engineering - Data Engineering (M2)

Company Summary:

Crown Castle is the nation’s largest provider of shared communications infrastructure: towers, small cells and fiber. It all works together to meet unprecedented demand—connecting people and communities and transforming the way we do business. Whenever you make a call, track a workout or stream music and videos, we’re the ones providing the communications infrastructure that makes it all possible. From 5G and the internet of things to drones, autonomous vehicles and AR/VR, we enable the technologies that help people stay safe, connected and ready for the future.   Crown Castle is publicly traded on the New York Stock Exchange (CCI), is part of the S&P 500 and is one of the largest Real Estate Investment Trusts in the US.       

We offer a total benefits package and professional growth development for teammates in any stage of their career. Along with caring for our teammates, we’re an active member in the communities where we live, work and do business. We have a responsibility to give back, which we do through our Connected by Good program. Giving back allows us to improve public spaces where people connect, promote public safety and advance access to education and technology. 

Role:

As the Manager, Software Engineering - Data Engineering & Analytics team, you’ll lead a team data engineers in building and maintaining scalable, reliable, and efficient data pipelines using state-of-the-art technologies. You'll be a hands-on leader, actively contributing to the codebase and ensuring the smooth flow of data from various sources to our Snowflake data warehouse. You will embrace a fast-paced, high growth environment. You will also play a critical role in our digital transformation: helping build our enterprise analytics platform for Crown Castle.

Responsibilities

• Lead Data Engineering team: Manage a team of talented engineers, fostering a collaborative and performance-driven culture.
• Design and build data pipelines: Design, develop, and implement data pipelines using Kafka, Airflow, AWS Glue, Python, and Lambda functions to ingest, transform, and load data into Snowflake.
• Data quality and governance: Champion data quality by establishing effective monitoring and logging practices, implementing data validation rules, and ensuring data accuracy and integrity.
• Code contributions: Actively contribute to the codebase, writing and reviewing code for data pipelines, transformations, and other related tasks.
• Team mentorship and development: Guide and mentor your team, helping them grow their skills and expertise in Data Engineering technologies.
• Collaboration and communication: Collaborate effectively with cross-functional teams across Data & Digital, Product Management, Architecture, Infrastructure, and business domain leaders.
• Continuous improvement: Drive continuous improvement of data pipelines by optimizing performance, scalability, and cost-efficiency.
• Technology adoption: Stay ahead of the curve by learning and implementing new Data Engineering technologies and best practices.
• Help teammates continuously reflect and improve, becoming more effective in their roles and increasing their predictability, teamwork, and best practices
• Coordinate software and solution design, peer and code reviews, planning, development, and maintenance deliverables  
• Evaluate current state, research, and implement effective solution designs to achieve defined business or process objectives.
• Participate and manage functional and technical requirements, systems configuration, data integrity and all system-related procedures, business process mapping and requirements.
• Establish implementation plans and assists with overall solution design architecture and strategy. Reviews and approves customization requirements when needed.
• Work in an agile development environment with a quick turnaround time and iterative builds using DevOps or CI/CD concepts.

Expectations 

•  Develop plans and executes strategy working with senior leadership, including business, production, operational and/or organizational priorities
•  Supervise, coordinate, provide leadership to and review the work of professional employees to accomplish operational plans and results
•  Maintain an awareness of changing organizational conditions and their impact to the strategic objectives, using knowledge to adapt and evolve their approach
•  Take primary responsibility for relationships with product & business stakeholders within and across teams to better plan for and prioritize work
•  Demonstrate maturity and ability to communicate at all levels of the company
•  Drive positive culture, increase employee engagement, and maximize their potential

Education/Certifications  

• Bachelor’s degree in Mathematics, Computer Science, Engineering / related field or equivalent experience
• Master's degree preferred
• Certifications in AWS of Snowflake preferred

Experience/Minimum Requirements 

• 8+ years Data Engineering experience focused on Snowflake, Databricks, Kafka, AWS Glue, Airflow, and AWS services.
• 3+ years’ experience managing Data Engineering and analytics team(s)
• Hands-on experience & understanding designing, building, and maintaining complex ETL pipelines using Snowflake, Databricks, Kafka, and AWS Glue.
• Familiarity with data warehousing concepts and methodologies.
• Cloud computing and AWS services, with a focus on data-related services such as S3, Redshift, and Lambda.
• Ability to influence without authority to drive decision-making and accountability in a highly matrixed environment
• Demonstrated ability to understand complex, multi-project environments and be able to diagnose potential risks and issues quickly
• Demonstrated excellence in professionalism, professional communication, presence, a high degree of integrity, and willingness/strength to do the right thing in difficult situations
• Possess a deep curiosity about data, willing to dive deep to understand and be passionate about socializing business impacts driven by data

Working Conditions: This is a remote role with the expectation of on-site collaboration with teammates and stakeholders for moments that matter. Travel up to 20% may be required.

For New York, Colorado, California and Washington residents- The hiring range offered for this position is $130,000-$160,000 annually. In addition to salary, employees are eligible for an annual bonus of up to 20% of annual salary and restricted stock. Employees (and their families) are eligible for medical, dental, vision, and basic life insurance. Employees are able to enroll in our company’s 401k plan. Employees will also receive 18 days of paid time off each year and 12 paid holidays throughout the calendar year.

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