Senior Data Architect

Vor 4 Tagen

Lausanne, Waadt, Schweiz Technis Vollzeit
About the Role

We are seeking a highly skilled Senior Data Architect to join our team at Technis. As a key member of our engineering department, you will play a crucial role in designing and developing scalable and efficient data pipelines, ensuring high-quality data ingestion, processing, and storage solutions.

Key Responsibilities
  • Design and Develop: Collaborate closely with your project team to develop scalable and efficient data pipelines, ensuring high-quality data ingestion, processing, and storage solutions.
  • Write Specs: Work with our Product and Delivery Managers to regularly refine the definition of the work in the product backlog, contributing expertise and gaining clarity when needed.
  • Estimate: Provide feedback on designs for completeness, implementation effort, and feasibility.
  • Plan: Collaborate with the Product team to plan future cycles by contributing to story definition, providing work estimates, and regularly identifying technical dependencies and blockers.
  • Push: Understand and advocate for ongoing cycle goals and help motivate our teams to finish those cycles on time and with minimal technical debt.
  • Pair: Review your team members' code submissions to ensure it meets the needs of the project in terms of quality, correctness, consistency, and performance.
  • Communicate: Participate in regular shares with stakeholders on project progress and delivered features and functionality.
  • Teach: Support the engineering department by sharing the technical knowledge you learn with your project teams.
  • Debug: Identify when your team members are stuck on a technical challenge and offer support.
  • Document: Produce documentation on methods, decisions, technical approaches, and other context to improve the developer experience on our projects.
Requirements
  • 5+ years of experience in data engineering.
  • Proficiency in building and maintaining data pipelines using technologies such as Apache Kafka, Spark, and Hadoop.
  • Strong experience with SQL and NoSQL databases (i.e., PostgreSQL, MySQL, MongoDB).
  • Hands-on experience with cloud platforms like AWS, GCP, or Azure.
  • Knowledge of data modeling, ETL processes, and data warehousing solutions.
  • Excited to learn new technologies and adopt new solutions to deliver amazing products and further your depth of knowledge as an engineer and technologist.
  • Contributed to technical design discussions and helped evaluate different technical solutions to influence architectural decision making.
  • Comfortable following general agile delivery methodologies and participating in regularly scheduled meetings and ceremonies (generally only two per week).
  • Organized, self-motivated, and comfortable advocating for your needs, the needs of the project, and the needs of the team.
  • Experience as a tech lead or technical management role is a plus, but not a requirement.
What We Offer
  • An opportunity to join a fast-paced, growing startup where you can have an immediate impact.
  • A stimulating and empowering work environment with a team of true enthusiasts.
  • Modern office in the heart of the city.
  • Lots of flexibility, autonomy, and daily challenges.
  • 25 days of paid time-off + local bank holidays.
  • A budget for attending events and conferences.

We are committed to creating a work environment that is inclusive, diverse, and empowering. If you are passionate about data engineering and want to be part of a team that is shaping the future of data-driven products, we encourage you to apply.

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