Data Architect Lead

2 days ago

Stockholm, Stockholm, Sweden Alf (part of LF Alliance) Full time

About Us

Alf (part of LF Alliance) is a tech company born from the legacy of one of Sweden's largest and most trusted financial groups, with over 3.9 million customers.

We're blending 200+ years of expertise with cutting-edge IoT technology to create a secure and sustainable way of living.

About The Job

You will play a key role in shaping our data strategy and fostering a data-driven culture as Head of Data & Analytics at Alf.

This role blends technical leadership—working with our data platform, infrastructure, and tech stack—with strategic efforts to ensure 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.

Beyond technical and strategic aspects, you will 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.

You will also support and grow our data team, which currently consists of one Analytics Engineer but is expected to expand over time.

Key Responsibilities

  1. Data Strategy and Roadmap: Identify and prioritize data use cases in collaboration with product teams, Länsbolagen, and LF AB, ensuring that data is used to support business development and product improvements.
  2. Data Adoption: Conduct workshops and training initiatives to enhance data understanding and adoption across the organization.
  3. 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.
  4. Staying Ahead: Stay at the forefront of industry trends by exploring new technologies and innovations that can optimize data-driven decision-making.
  5. Talent Development: Support and grow the data team, structuring and expanding it as business needs evolve.

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.

Your career has given you broad exposure to Data & Analytics, possibly as a Data Engineer, Analytics Engineer, Analyst, or Data Scientist, and you have experience with data platform architecture.

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.

About Working at Alf

We embrace the guiding principles of empowered product teams to create an exceptional working environment:

  1. Self-sufficiency: Our teams have all the competencies they need to deliver on their objectives.
  2. Autonomy: Our teams are self-directed with minimal top-down management. They have the flexibility to determine solutions and take ownership of their domain.
  3. Responsibility and Accountability: Our teams' work has a direct impact on Alf's business and products.
  4. Customer Focus: Our teams engage with customers continuously, uncovering opportunities and using that insight to inform their day-to-day prioritization.
  5. Innovation: Our teams have dedicated time and space to experiment with new ideas.
  6. Scalability: Our teams are responsible for their technical domain and work continuously to ensure scalability.

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