Technical Director for Data Science
2 days ago
About The Opportunity
As Head of Data & Analytics at Alf, you will have the opportunity to shape our data strategy and foster a data-driven culture.
This role requires a unique blend of technical leadership and strategic thinking, ensuring that data is leveraged effectively to support business and product development.
You'll work closely with our Analytics Engineer and tech team to develop and maintain our data platform, ensuring it evolves to meet future needs in a cost-efficient and scalable way.
At the same time, you will be responsible for creating a data strategy together with leadership, product teams, and external stakeholders such as Länsbolagen and LF AB, ensuring that data insights help drive informed decisions.
Key Responsibilities
- Data Platform Development: Develop and execute a data strategy and roadmap, working closely with the leadership team, architects, and other stakeholders to prioritize efforts based on business value and efficiency.
- Talent Development: Support and grow the data team, structuring and expanding it as business needs evolve.
- Industry Trends: Stay at the forefront of industry trends by exploring new technologies and innovations that can optimize data-driven decision-making.
- Culture Building: Act as an advocate for data-driven decision-making across the company, fostering a culture where data is accessible, useful, and embedded into our way of working.
About You
You have a strong technical background, likely with a master's degree in computer engineering or a related field.
A background in mathematics or another technical discipline is also relevant if you have developed the necessary skills through work experience or similar.
Requirements
- Expertise: Data modeling principles, SQL and dbt.
- Proficiency: The Databricks platform (Unity Catalog, workspaces, notebooks, RBAC), orchestration tools such as Apache Airflow or Databricks Workflows, streaming platforms such as Apache Kafka, IaC frameworks such as Terraform, CI/CD principles and frameworks such as GitHub Actions, Apache Spark (PySpark), and visualization tools like Power BI, Looker, or Tableau.
- Familiarity: Azure environments and services relating to data storage, processing and transfer such as Storage Accounts, Virtual Machines, Networking, IAM and Function Apps.
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