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Cloud Data Strategist

2 months ago

New York, New York, United States Yieldmo Full time
About Yieldmo

Yieldmo is a leading advertising technology company that operates a cutting-edge exchange, enhancing the value of ad inventory for buyers and sellers. As a pioneer in contextual analytics, real-time technology, and digital formats, we create, measure, model, and optimize campaigns for unparalleled scale and performance. By understanding how each unique impression behaves and identifying patterns and performance in real-time, we drive real performance gains without relying on audience data.

As a fully-distributed, global company, we provide the opportunity for employees to activate their entrepreneurial spirit. With about 150 employees, we are well-positioned for success in the new phase of adtech innovation. We firmly believe that each person we bring into our team can make a significant impact.

About the Role

This is an exciting opportunity to join our data team as a Principal Data Engineer. As a member of our team, you will be expected to be curious and go above and beyond the job at hand. Your primary responsibilities will include:

Leadership
  • Comfortable in communicating with senior executives, presenting clear options and outcomes based on in-depth analysis while proposing engineering changes.
  • Demonstrate strong leadership skills to inspire, motivate, and align team members across the organization 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 a 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 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 Actions, 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 and 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-minute 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-minute design session, where the candidate is expected to share various data systems design options to solve proposed big data problems.
  • A 60-minute 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: $225,000-$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.