Engineering Manager – Mid level/Senior – Data

Engineering Manager – Mid level/Senior – Data

Requirements

• Bachelor’s degree in computer science/related technical field
• 5+ years as an engineer building and shipping software using Python, Java, Kotlin, JavaScript, TypeScript, or React on multiple projects on complex distributed polyglot systems.
• Proven ability to understand and vocalize opinions about architecture.
• Familiar with Object Oriented Design, Domain Driven Design, Event Driven services.
• 3+ years of management experience leading a squad of four or more engineers working on a distributed system in Golang, Java, Kotlin, or Python (or some combination of them).
• 2+ years managing and maintaining infrastructure and platforms, including monitoring costs, version control, and feature enrichment.
• Demonstrable experience mentoring and coaching reports to their desired career goals.
• Demonstrable experience with small squads that move fast – all members are expected to be able to achieve maximum results with minimal direction.
• 1+ years of experience working in product management working with numerous external analytics tools with use across different departments, with various intersections of internally generated data.
• Ability to analyze, assess, and derive insights from data, that then become hypotheses you test in a split or multivariate test.
• You are incredibly stakeholder-focused with a track record of driving results based on their needs and challenges.

Responsibilities

• Own the people, process, and technology of one or two squads.
• Builds and maintains Psychological Safety within the squad and beyond.
• Responsible for building and growing a top-performing squad, including the hiring/firing, training, and performance management of the members on the squad.
• Mentor and grow the capabilities of the squad(s).
• Drive results by establishing motivational goals and providing constructive feedback to squad members.
• Assist squad in navigating relationships with Stakeholders e.g. Product, Design, Supply, etc.
• Develop training plans for continuous development of the squad’s engineering skills and product knowledge.
• Ensuring squad members grow in technical areas that are of interest to them and/or are less experienced in.
• Put in place development best practices to ensure the squad produces high-quality, well-written, and tested code.
• Measure metrics like velocity and determine ways to shorten the SDLC by uncovering the squads’ blockers and helping to remove them.
• Lead reviews of architecture design.
• Know and document the strengths and weaknesses of Products and technical stack.
• Create a healthy balance between features and reduction of technical debt.
• Understand, own, and maintain all technology solutions for this squad.
• Secure and safeguard data to preserve its integrity, reliability, and availability and ensure appropriate access levels are maintained.
• Provides observability into the Squad’s work.
• Understand and manage the financial costs of the products and solutions the squad builds.
• Collaborate on roadmaps with Product Managers, other Engineering Managers, and Technical Leads.
• Be conversant in the squad(s)’s code-bases with the ability to help out in a pinch.
• Ensures the administrative tasks are done.
• Continue your own growth in usage of technology and working with Humans.
• Support the improvement of SDLC, Career Packages, Domain Driven Design, Onboarding, Quality Plans, and other non-squad related projects across Engineering.
• Be an industry thought leader, participating in public speaking events and meetups to showcase SpotHero as a leader in technology.
• Build and nurture a vision and strategy for our data engineering, data science, and data services.
• Translate that vision and strategy into a roadmap and prioritize features for highest impact and fastest time-to-market.
• Partner with other Product Managers to help them quantitatively measure success for products being developed.
• Work with all stakeholders across the organization to identify and establish a process for data modeling, data exploration, and data visualization.

Preferred Qualifications

• Redshift, Hive, and/or Postgres experience.
• AWS experience
• Experience building and maintaining batch and streaming jobs.

Benefits