Engineering Manager, Data
Published on March 23, 2024
Affinity stitches together billions of data points from massive datasets to create a powerful, accurate representation of the world's professional relationship graph. Based on this data, we offer our users the insights and visibility they need to nurture and tap into the opportunities in their team's network.
Reporting to the Director of Data & AI, you'll support creating the magic that underlies Affinity's industry-leading relationship intelligence by leading Affinity’s Data Platform team.
Our Data Platform team ingests data from various external data sources to build out a data platform that is used by our AI team. This is a highly complex area with one record consisting of data points from many data sets, which makes entity merging and data correctness challenging. We are looking for an Engineering Manager who values career development, mentorship, and is a technical leader who can drive the technical direction of the team while aligning to our strategic vision. This is a hands-on role; in addition to leading the team, you'll also be an active contributor.
What you’ll be doing:
- Drive design and build data engineering systems, services, and data platforms that serve as a repository for our ML engineering and CRM teams.
- Drive complex technical, architecture, design, and product discussions.
- Manage, Organize, and lead the delivery of Data products.
- Leading, coaching, and inspiring our engineers on the team.
- Identify and fill gaps on the team, and create the processes necessary for the teams’ success.
- Lead SCRUM processes, e.g., daily standups, sprint plannings, and retrospectives.
- Scale the team by hiring additional talented engineers to fill existing gaps and provide the necessary velocity to meet product goals.
- Help define our Data Enrichment roadmap. You'll collaborate with our fast-growing team of engineering, product, and business leaders to improve the quality of our data and enable our teams to quickly iterate on feature engineering and model experimentation.
Qualifications
Don’t meet every single requirement? Studies have shown that women and people of color are less likely to apply to jobs unless they meet every qualification. At Affinity, we are dedicated to building a diverse, inclusive, and authentic workplace, so if you’re excited about this role, but your past experience doesn’t perfectly align with the qualifications above, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
Required:
- You have 8+ years of experience working in data and software engineering leading complex, sometimes ambiguous engineering projects across team boundaries.
- You have 3+ years of experience as an engineering manager role or tech lead role, providing mentorship and coaching in a formal setting.
- Previous experience in leading high-performing engineering teams.
- You have experience partnering with product and machine learning teams on large, strategic data projects and routine partner work.
- You have hands-on experience in building scalable data platforms and reliable data pipelines using Spark and Databricks, and familiarity with Hadoop, AWS SQS, AWS Kinesis, Kafka or similar technologies.
- You have experience working with large, multi-terabyte datasets and are comfortable with high-scale data ingestion, transformation, and distributed processing tools such as Apache Spark (Scala or Python).
- Experience with AWS, DBX or related cloud technologies.
- Experience with CI/CD processes, test frameworks, and infrastructure-as-code tooling.
- You're comfortable with the building blocks of modern back-end systems, such as horizontally scalable data infrastructure, event-driven architecture, and beyond and can clearly articulate the pros/cons of different approaches, while also providing a recommended solution based on the current context.
- You have familiarity with databases and analytics technologies in the industry, including Data Warehousing, Data Lakes, ETL and Relational Databases.
- You take pride in delivering exceptionally high quality work in terms of data accuracy, performance, and reliability.
- You’re eager to contribute your ideas and experiences to help Affinity continuously improve as a product and company.
Nice to have:
- Experience with Ruby or prior experience working with Application teams.
- Experience with Graph connectivity.
- Experience leveraging machine learning to improve the quality of ingested data.
- You have worked with multiple third party data vendors and have experience in conflict resolution approaches.
Tech Stack
Our Data stack is mainly on AWS which enables technologies such as Spark, Kubernetes, Kafka, Databricks, Sagemaker.
How we work:
Our culture is a key part of how we operate as well as our hiring process:
- We iterate quickly. As such, you must be comfortable embracing ambiguity, be able to cut through it, and deliver incremental value to our customers each sprint.
- We are candid, transparent, and speak our minds while simultaneously caring personally with each person we interact with.
- We make data driven decisions and make the best decision for the moment based on the information available.
Join us in enabling every professional on the planet to succeed by harnessing the power of their relationships.
If you’d want to learn more about our values click here.
What you’ll enjoy at Affinity:
- We live our values as playmakers, obsessed with learning, care personally about our colleagues and clients, are radically open-minded, and take pride in everything we do.
- Health Care coverage and flexible personal & sick days. We want our team to be happy and healthy :)
- We provide an annual budget for you to spend on education and offer a comprehensive L&D program – after all, one of our core values is that we’re #obsessedwithlearning!
- We support our employee’s overall health and well-being and reimburse monthly for things such as; Transportation, Home Internet, Meals, and Wellness memberships/equipment.
- Virtual team building and socials. Keeping people connected is essential.
Please note that the role compensation details below reflect the base salary only and do not include any equity or benefits. This represents the salary range that Affinity believes, in good faith, at the time of this posting, that it will pay for the posted job.
A reasonable estimate of the current range is $142,300 to $187,800 CAD. Within the range, individual pay depends on various factors including geographical location and review of the experience, knowledge, skills, and abilities of the applicant.
About Affinity
With more than 3,000 customers worldwide and backed by some of Silicon Valley's best firms, Affinity has raised $120M to empower dealmakers to find, manage, and close more deals. How? Our Relationship Intelligence platform uses the wealth of data exhaust from trillions of interactions between Investment Bankers, Venture Capitalists, Consultants, and other strategic dealmakers to deliver automated relationship insights that drive over 450,000 deals every month. We are are proud to have received Inc. and Fortune Best Workplaces awards as well as to be Great Places to Work certified for the last 5 years running. Join us on our mission to make it possible for anyone to cultivate and fully harness their network to succeed.
We use E-Verify
Our company uses E-Verify to confirm the employment eligibility of all newly hired employees. To learn more about E-Verify, including your rights and responsibilities, please visit www.dhs.gov/E-Verify.