Cloud Data Architect Lead
hace 10 horas
You enjoy being part of a team that designs and builds data pipelines combining and transforming raw data into valuable action-based data products.
You are proud, enthusiastic about the work you do and always looking for opportunities to improve the data products your team makes. We work in sprints. Everyone is encouraged to bring their topics and expertise. You are confident in your skills and like to coach your colleagues.
We work with state-of-the-art technologies like Snowflake, Informatica Cloud, AWS, Python, Coalesce, and DBT. You like to experiment together with the team on tools and technologies to improve the work and create new projects. You think not only about your current project but also have ideas on how to improve our way of working for the next project.
Responsibilities may include:
- Leading the design and development of cloud-based data pipelines using technologies like Snowflake, Informatica Cloud, Coalesce, DBT, Airflow, Oracle, and Python.
- Championing best practices for data architecture, governance, and security.
- Defining and implementing data quality standards and processes.
- Collaborating with engineering teams to develop and deploy data pipelines ensuring scalability, performance, and reliability.
- Partnering with data analysts and business stakeholders to understand data needs and translating them into technical requirements.
- Staying up-to-date on the latest advancements in cloud data technologies and trends.
- Mentoring and guiding junior data architects and engineers.
The salary range for this position is approximately $120,000 - $180,000 per year depending on experience and qualifications. The ideal candidate will have a Bachelor's degree in Computer Science, Systems Engineering, or related field and at least 5 years of proven work experience as a Data Architect.
A strong understanding of data governance, security, and compliance is essential, along with excellent communication and collaboration skills. Proven ability to lead and mentor junior-level data architects and data engineers is also required. Experience with large enterprise systems & solutions and proficiency in at least one programming language (Python preferred) are highly valued.
We are a dynamic team working in an Agile environment. A proactive attitude, ability to translate business requirements into technical data architecture designs, and willingness to experiment with new technologies are key characteristics of our ideal candidate.
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