What you'll do:
- Define and execute the roadmap for the data platform, ensuring alignment with business objectives and stakeholder needs.
- Drive the development and optimization of data ingestion pipelines, integrating data from multiple sources.
- Oversee efficient data storage solutions, ensuring scalability, cost-effectiveness, and high performance.
- Work with engineering teams to develop and improve data processing workflows to support analytics, machine learning, and business intelligence use cases.
- Ensure data accessibility by designing and optimizing data export and consumption layers for internal teams and end users.
- Collaborate with data engineers, architects, and analytics teams to define data requirements for the different teams.
- Identify and prioritize technical and business trade-offs to balance innovation, speed, and reliability.
- Develop and track key success metrics to measure the impact of the data platform.
- Stay up-to-date with the latest industry trends and best practices in data infrastructure and analytics technologies.
What you'll bring:
- Strong technical background in data engineering, cloud computing, or distributed systems.
- Experience working with modern data technologies such as Spark, Kafka, Snowflake, BigQuery, or similar.
- Knowledge of ETL/ELT processes, data modeling, and data pipeline orchestration.
- Excellent analytical and problem-solving skills with a keen eye for detail.
- Strong communication and stakeholder management skills, with the ability to translate technical concepts into business impact.
- Experience with Agile methodologies and a data-driven approach to decision-making.
Advantages:
- 4+ years of experience in engineering, preferably in data infrastructure, big data, or cloud-based data platforms.
- Bachelor’s or Master’s degree in Computer Science, Mathematics, or a related field.
- Experience in managing data platforms in a cloud environment (AWS, GCP, Azure).
- Understanding of data security, privacy regulations (GDPR, CCPA), and governance frameworks.
- Hands-on experience with SQL, Python, or other programming languages relevant to data infrastructure.
Our people are the foundation of our success, and we place a high priority on offering a wide range of benefits that make our team happier and healthier.
- Equity participation - everyone shares in our success
- Flexible work arrangements - for parents, for remote work days, etc.
- Mentoring, Knowledge training & Career development tracks
- Office perks: dog-friendly environment, fully-stocked fridge, gym and exercise classes, weekly Happy Hours, free parking, evening meals
Our Values:
We look for people who embody our values - Care, Do, Try & Shine.
- - Wecareabout our customers and each other
- Do- Wedowhat it takes to make a positive impact
- Try- Wetryour best and we don’t give up
- Shine- Weshine