About the Team
Our team focuses on the maintenance, evolution and engineering of the data platform as well as data processing across Sovrn’s Data Collective. We focus on the architecture, transformation, availability, governance and evolution of data, so that critical product insights are readily obtainable by Sovrn’s internal business leaders. Additionally, we focus on key data technology solutions and serve as subject matter experts on our ETL, data warehousing and business intelligence tools. The team drives collaboration between engineers, data scientists, business analysts and product managers to enable better data access across all of our product lines.
About the Job
As a Data Platform Engineer II , you will collaborate with cross-functional teams to enhance our data architecture, troubleshoot data processing issues, and implement solutions to ensure the integrity, efficiency, and governance of our data ecosystem. The ideal candidate is passionate about building and maintaining key datasets and data infrastructure, possesses strong problem-solving skills, and has a proven track record in managing and optimizing data platforms.
What You’ll Be Doing:
- Perform architecture design, table design, metric consistency, data modeling, and implementation of a big data platform and analytics applications.
- Analyze latest big data and analytics technologies and provide expertise in big data strategies.
- Provide governance of business-critical product data sets within Sovrn’s data warehouse and ensure their readiness for data analysts and other internal business users.
- Specify data platform components and configurations required for data pipeline implementation.
- Implement data pipeline metrics to monitor performance, accuracy, and availability.
- Research, implement, and evolve methods to process our data.
- Optimize data processing and data access to business intelligence tools.
- Provide domain expertise across the organization to enable business growth and development through data services and data models.
- Troubleshoot systemic issues and lead improvements.
- Work with the security team to implement and maintain robust data security measures.
- Ensure compliance with relevant data governance and privacy regulations.
About You
You share Sovrn’s belief that a highly effective engineer is defined as much more than just technical ability, but also someone who uses exceptional interpersonal skills to improve team dynamics and executes on technical work with a long-term strategic vision. You are a self-starter and able to get the job done without direct supervision. You enjoy leading a collaborative team but are also independently responsible. You are technically curious and enjoy investigating what is possible. Defining technical challenges and solving problems with your team to make better software gets you excited.
The successful candidate will have:
- Excellent understanding of big data processing environments such as Spark and Databricks.
- Hands-on experience with data processing using Spark and Python.
- Hands-on experience in big data and distributed data processing in the AWS ecosystem.
- Hands-on experience with orchestration tools such as Airflow and MWAA.
- Proficiency with Postgres, Athena, and DynamoDB.
- Experience with data warehousing and data mart design and implementation.
- Strong understanding and inner workings of metadata management, data lineage, and data governance.
- Strong experience in structured, unstructured, semi-structured data techniques and processes.
- Hands-on experience with infrastructure as code tools like Terraform and AWS Cloudformation.
- Ability to clearly document and communicate architectural concepts at multiple levels.
- Experience with data security and compliance (PII, CCPA, GDPR etc.).
- Create and maintain data products from data warehouse to user facing outputs such as reports and dashboards.
- Ability to lead problem definition, solution designs, and define implementation work plans.
- A creative yet analytical mindset with problem-solving skills.
- Excellent communication and collaboration skills.
- Ability to understand business domains and translate into data requirements.
- Staying up to date with industry metrics and anticipate how they can be incorporated into Sovrn data.
This position reports to: Anna Carpinello
Location: Boulder, Colorado #LI-Hybrid
We understand that no candidate is perfectly qualified for any job. Experience comes in different forms; many skills are transferable; and passion goes a long way. Even more important than your resume is a clear demonstration of accountability impact, and the ability to thrive in a fluid and collaborative environment. We expect you to learn new things in this role, and we encourage you to apply if your experience is close to what we're looking for.
Sovrn Core Values : Candid, Customer Empathy, Learning, Scrappy, Second Order Thinking
Compensation and Benefits
In accordance with the Colorado Equal Pay for Equal Work Act, the approximate compensation range for this role in Boulder, Colorado is $115,000 to $130,000, including base salary and any related bonuses or commissions. Final compensation for this role will be determined by various factors such as a candidate's relevant work experience, skills and certifications.
Sovrn offers a full slate of benefits from competitive salaries, stock options, medical, dental and vision coverage, short and long term disability, life insurance, 11 paid holidays, flexible vacation, commuter benefits, a 401(k) plan and match, and a paid parental leave program.
Equal Opportunity Employer
Sovrn is proud to be an Equal Opportunity Employer and provides equal employment opportunities to all employees and applicants regardless of race, color, religion, gender, gender identity, age, national origin, disability, parental or pregnancy status, marriage and civil partnership, sexual orientation, veteran status, or any other characteristic protected by law. Reasonable accommodations will be made to meet the requirements of the Americans with Disabilities Act and will be provided as requested by candidates taking part in all aspects of the selection process.
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