Informacje o stanowisku
The Role: Lead Data Engineer / Data Architect
The Team: The data engineering team is responsible for expanding and optimizing the companys data and pipeline architecture, ensuring smooth data flow and collection for cross-functional teams. The team values collaboration and works closely with software developers, database architects, data analysts, and data scientists to support data initiatives. What sets this team apart is their passion for building data systems from the ground up and their dedication to optimizing data delivery architecture. They value innovation and are excited about redesigning the companys data architecture to support the next generation of products and data initiatives.
The Impact: This role as a Lead Data Engineer / Data Architect is crucial to the business as it directly contributes to the companys data infrastructure and analytics capabilities. By creating and maintaining optimal data pipeline architecture and building infrastructure for data extraction and transformation, the Lead Data Engineer / Data Architect enables the organization to make informed business decisions based on accurate and reliable data. This role directly impacts our clients and markets by ensuring the availability of high-quality data for analysis and insights, leading to better product development, improved customer experiences, and informed decision-making.
What’s in it for you:
- The opportunity to work with cutting-edge technologies such as Databricks , Snowflake, Delta Lake PostgreSQL, Apache Spark, and AWS data technologies.
- Exposure to cross-functional teams and collaboration with stakeholders from executive, product, data, and design teams, providing a chance to develop a broad understanding of the business and its various functions.
- The potential for growth and development, with the chance to work on complex analytical projects, manage stakeholders, and take ownership of product deliverables.
- The global nature of the role, offering the opportunity to work on data initiatives that have a wide-reaching impact and contribute to the companys position as an innovative industry leader.
- Collaborate with data engineering team, providing guidance, mentorship, and support to ensure the successful execution of projects and initiatives.
- Oversee the expansion and optimization of data and data pipeline architecture, ensuring efficient data flow and collection across the organization.
- Collaborate with stakeholders, including software developers, database architects, data analysts, and data scientists, to support data initiatives and ensure consistent data delivery architecture.
- Drive innovation by identifying opportunities for improvement, implementing new technologies, and optimizing data systems to support future product development and data initiatives.
- Take ownership of project and stakeholder management activities, ensuring high-quality and timely delivery of product outcomes.
- Foster a collaborative and inclusive team culture, encouraging knowledge sharing and professional development.
What We’re Looking For:
- Bachelors or higher degree in a quantitative field such as Computer Science, Statistics, Informatics, Information Systems, or a related field.
- Extensive experience (7+ years) in a data engineering role, with a strong background in Data architecture, performance, and organization.
- Strong theoretical knowledge in data science.
- Hands-on experience with platform such as Databricks, Snowflake, PostgreSQL.
- Experience with Python and Spark is a plus.
- Strong understanding of data pipeline architecture, data transformation processes, and workload management.
- Excellent communication and interpersonal skills, with the ability to effectively collaborate with cross-functional teams and stakeholders.
- Problem-solving mindset, with the ability to identify opportunities for improvement and drive innovative solutions.
- Strong project management skills, with the ability to prioritize tasks, manage timelines, and deliver high-quality outcomes.
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