Principal Data Engineer / Architect
Company Description
Yieldmo is an advertising technology company that operates a smart exchange that differentiates and enhances the value of ad inventory for buyers and sellers. As a leader in contextual analytics, real time technology, and digital formats, we create, measure, model, and optimize campaigns for unmatched scale and performance. By understanding how each unique impression behaves and looking for patterns and performance in real time, we can drive real performance gains without relying on audience data. Yieldmo is a fully-distributed, global company that provides the opportunity for employees to activate their entrepreneurial side .
We are well-positioned for success in the new phase of adtech innovation with about 150 employees. We firmly believe that each person we bring into our team can make an impact.
What You Can Expect In This Role
As a member of the Yieldmo data team you are expected to be curious and go above and beyond the job at hand. Your primary responsibility includes: Leadership
- Comfortable in communicating with the C-suite, presenting clear options and outcomes based on in-depth analysis while proposing engineering change.
- Demonstrate strong leadership skills to inspire, motivate, align team members across the org towards a future state.
Systems Design
- Set future state direction for the cloud based enterprise infrastructure that supports Data Analytics, Business Intelligence, high throughput data transformation pipelines, API based applications, by continuously staying abreast of the technology marketplace.
- Evangelize, design, deliver, and manage highly optimized data platforms and pipelines with focus on cost, performance and usability.
- Visualize and communicate design ideas and organize data and infrastructure processes into reusable code frameworks.
- Engage in proof of concept, lead negotiation and engineering discussions with tech vendors during evaluations.
Engineering
- Project plan tasks for large infrastructure initiatives, delegate tasks while overseeing the development process, test and deliver bug free solutions, setup care and feed methodologies for production systems.
- Perform code reviews and set best practices around software development using Python, Java and SQL.
- Be an expert in the codebase and business aspects of systems on which they work, and clearly understand/communicate dependency with other systems through the Yieldmo ecosystem.
- The person should become a domain expert in the area of business they work on.
Requirements
- BS, MS or higher degree in Computer Science, Information Systems, Engineering or equivalent
- 9+ years of experience of building data lakes / data warehouse platforms for high volume data systems of all sorts (analytic, relational, big data, etc)
- 3+ years of experience in engineering leadership
- Data modeling, pipelines, and analysis in SQL (e.g. Snowflake, BigQuery, Databricks, Redshift)
- Diverse experience building scalable solutions using cloud services (AWS) such as: Airflow, Kinesis, Cloudwatch, Github action, Lambda, SQS, SNS, ECS, ECR, Containerization using Docker: that support processes such as: code deployments, data collection, streaming, data transformation, workflow automation, orchestration
- In depth knowledge of Object Oriented Programming in languages such as Python, Java
- Keen interest for designing systems for performance and scale
- Proven track record in developing data systems using test driven development
- Coaching and implementing coding best practices and code review processes
- Technology strategist: track record of suggesting and building tech solutions that best suit to optimally solve business problems
- Ability to communicate with both business and technical resources, particularly the skill of expressing complex issues with clarity & simplicity
Hiring Process
Select candidates will be invited to schedule a 30 minute screening call with a member of our Talent Acquisition team. We will discuss the Hiring Process details at that time. The hiring process typically includes, but is not limited to:
- Two 90 min code pairing rounds where the candidate is expected to engage in writing solutions in code. This will be both in Python and SQL.
- One 60 min design session, where the candidate is expected to share various data systems design options to solve proposed big data problems.
- A 60 min interview with the Hiring Manager.
- All the above rounds are video interview rounds.
Perks
- Fully remote workplace
- Generous employer contribution to Health Benefit premiums & 401k Match
- Work/life balance: flexible PTO, competitive compensation packages, Summer Fridays & much more
- 1 Mental Escape (ME) day each quarter to fully unplug and recharge
- A generous learning stipend and other opportunities for professional development
- Dedicated staff committed to diversity and inclusion
- An allowance to help you upgrade your home office
US Jobs: The base salary range for this role is: $182,000-$275,000 per year. The range listed is just one component of Yieldmo's total compensation package for employees. Individual compensation decisions are based on a number of factors, including experience, level, skillset, and balancing internal equity relative to peers at the company. We recognize that the person we hire may be less experienced (or more senior) than this job description as posted. In these situations, the updated salary range will be communicated with you as a candidate.
For all other countries, we have competitive pay bands based on market standards.
