Senior Engineering Manager - Analytics Engineering

ezCater values technology, particularly analytics, data and machine learning, as a differentiator and a key component of our success. It powers everything we do. We push ourselves every day to better the codebase, improve performance, and deliver an amazing customer experience. Check out this CBS Boston article for a glimpse into our culture.

The Data Technology organization is empowering the business in unlocking new opportunities by integrating data and machine learning across our products and business functions. This team is composed of the following specializations: Data Engineering, Analytics Engineering, Machine Learning (ML) Eng and ML Platform. The Senior Engineering Manager will join the Analytics Engineering function, building and growing high-performing Analytics Engineering teams, while remaining committed to your technical craft. The ideal candidate will come with prior management experience, inspiring and leading others, while also diving deep into specific business domains and finding the best path forward. As a senior manager, you will operate with scale and speed, guiding the way for your teams across various technologies around data ingestion, streaming, transformation, modeling, architecture and governance.

As a Senior Engineering Manager, you’ll be setting our direction for years to come on data platform and a number of other fundamental tech capabilities, helping ezCater to grow its engineering backbone and setting us up for the long haul.

What You'll Do:

Responsible for organizing, leading and delivering the technical build of curated data marts and the overall data platform.
Accountable for the quality of your data platform (availability, reliability, resilience, security, etc.) and adherence to consistent standards for engineering excellence.
Understand and drive the architecture of the data marts, data pipelines and platform. Clearly communicate quality attributes and risks to multiple audiences.
Subject matter expert in various business domains to guide senior ICs, technical leaders, and senior data engineers in carefully considering business goals, trade-offs, quality attributes, cross-cutting concerns, and risks prior to committing to design decisions.
Influential beyond the data technology organization. You have a deep network of cross functional peers who value your opinion / perspective.
Aware of the state of talent within your teams and tracking those with high potential, promotion pipelines, and those in need of coaching.
Responsible for providing technical leadership to teams and senior ICs, including setting team level goals, developing your junior leaders and senior engineers, headcount planning, team culture / morale, and execution of multi-team project initiatives.
Responsible for people management duties across analytics engineering teams including: team staffing, career development of individuals, retention, performance management, and developing new team leaders.
Responsible for ensuring team members follow established processes while fostering a culture that embraces continuous improvement, values collaboration, accountability, innovation, and results.
Thought leader within Data Technology, collaborating with cross functional partners across the organization to develop strategic roadmaps, team’s backlog and planned work. You are able to shift from that strategic mindset to tactical problem-solving when issues arise, becoming the technical backstop for your teams

What You Have:

Technical Breadth as well as Depth in Several Areas: 8+ years of industry experience working with, designing, and building data platforms at scale.
Team Leadership: 3+ years of leading a team of 6 or more engineers through daily work routines, performance management, and hiring/retaining talent.
Manager of Managers: 1+ years of experience managing people in leadership roles.
Technical Ownership: Experience owning data solutions end-to-end, designing, estimating, implementing, testing, maintaining, debugging, and supporting high-quality analytics data assets in production. Extensive experience with cloud based data lakes, marts, warehouses. Expert level proficiency in SQL, ETL/ELT, streaming pipelines. AWS, Snowflake, DBT, Kafka? Even better.
Communication: Excellent communication, presentation and interpersonal skills.
Collaboration: Empathetic and does the legwork required for building consensus. Always seeks out feedback on technical designs, solutions, and code.

The national cash compensation range for this role is $175,000 - $235,000 per year*

*Please note: Final offer amounts are determined by multiple factors, including prior experience, expertise and region & may vary from the amount above. This range does not represent additional compensation benefits (such as equity, 401K or medical, dental or vision insurance).

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