Canada (Remote)
Affinity builds infrastructure to power the relationship-driven economy. Our core CRM product underpins thousands of the world\xe2\x80\x99s largest financial, professional services, and corporate institutions - including Softbank, MassMutual, a16z, Fidelity, Nike, and Tiger Global. We\xe2\x80\x99ve achieved this by solving some of the hardest problems in data and AI combined with great design: from our sync engine to daily-usage interfaces, Affinity structures millions of new contacts and billions of communications every year into insights that power relationship-driven teams in 80+ countries. We want to change the way everyone cultivates and harnesses their network, and are looking for a world-class leader to help us engineer that vision to life. As Director of Data Engineering, you will be responsible for several areas of Affinity\xe2\x80\x99s technology stack and vision that are vital to our future success. These include our data ingestion pipeline, search stack, machine learning infrastructure, and other related tooling. We are looking for a Director or Senior Director of Data Engineering that will help us realize our technology vision and deliver world class data engineering and search tools to our customers. What you\xe2\x80\x99ll be doing:

• Work with the product organization and company leadership to create a vision for how to best leverage technology to help our customers get access to the data they need in a way that is valuable, flexible, and user-friendly.
• Build Affinity\xe2\x80\x99s core data ingestion pipeline which will ingest data on organizations and people from a wide variety of 3rd party data sources. Data then needs to be cleaned and matched to our existing internal data.
• Build out and manage Affinity\xe2\x80\x99s search stack.
• Build out relationship intelligence tools to help our customers leverage the value of their existing relationships and understand how to best grow their networks to meet their goals.
• Drive complex technical, architecture, design, and product discussions.

Qualifications: Don\'t meet every single requirement? Studies have shown that women and people of color are likely to only apply for jobs if 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 experience doesn\'t perfectly align with the qualifications above, we encourage you to apply anyways. You may be the right candidate for this or other roles. Required:

• You have 10+ years of experience in software engineering, working in data ingestion pipeline, search engineering and/or machine learning.
• Proven experience with building, coaching, and leading high-performing engineering teams.
• You\xe2\x80\x99ve set up and managed data pipelines to ingest 3rd party data, clean and normalize it, and use machine learning techniques to match it to existing internal data.
• We\xe2\x80\x99re currently using Databricks, so some familiarity with that would be nice, but isn\xe2\x80\x99t required. Knowledge of similar tools (Snowflake, Redshift, BigQuery, etc) is also totally fine.
• You\xe2\x80\x99re familiar with basic search ranking techniques and algorithms. You\xe2\x80\x99ve managed an Elasticsearch and/or AWS OpenSearch cluster.
• You\xe2\x80\x99re comfortable with machine learning QA/eval tools and techniques.
• You know your way around a Jupyter Notebook.
• You have experience working with large, multi-terabyte datasets and are comfortable with high-scale data ingestion, transformation, analysis, and prediction tools.
• You take pride in delivering exceptionally high quality in terms of data accuracy, performance, and reliability.
• You\xe2\x80\x99re eager to contribute your ideas and experiences to help Affinity continuously improve as a product and company.

Nice to have:

• Experience managing managers.
• Experience using Databricks.
• Experience with Elasticsearch, AWS, Kubernetes, Postgres, or Ruby.

What you\xe2\x80\x99ll 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 \xe2\x80\x93 after all, one of our core values is that we\xe2\x80\x99re #obsessedwithlearning!
• We support our employee\xe2\x80\x99s 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 variable pay, 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 $154,000 to $232,000 CAD. Within the range, individual pay is determined by factors such as job-related skills, experience, and relevant education or training.
About Affinity We have raised over $120M and are backed by some of Silicon Valley\xe2\x80\x99s best firms, with over 2000 customers worldwide on our platform. We are proud to have a 4.5 Star Glassdoor rating and recently ranked; Inc.\xe2\x80\x99s Best Workplaces of 2022 and Great Places to Work 2022. Passionate about helping dealmakers in the world\xe2\x80\x99s biggest relationship-driven industries to find, manage, and close the most important deals; our Relationship Intelligence platform uses the data exhaust of trillions of interactions between Investment Bankers, Venture Capitalists, Consultants, and other strategic dealmakers with their networks to deliver automated relationship insights that drive over 450,000 deals every month.