Senior Data Architect

Netcompany1; København; On-site; DKK 900,000 - 1,300,000; Full time

Job summary

Netcompany is seeking a Senior Data Architect to shape data platforms and drive data strategy across client projects. You will design data models, ETL/ELT pipelines, and data warehousing, collaborating with project teams and customers.

You will work with SQL variants, Python and R, and technologies like Fabric, Snowflake, Databricks, dbt, Kafka, and Airflow. Fluency in Danish and English is required, and you will mentor colleagues while advancing our data capabilities.

Qualifications

• Degree in data science, software engineering, computer science, or a similar field.
• Solid professional experience in data management and data architecture.
• Proven leadership and mentoring capabilities within data teams.
• Full professional proficiency in Danish and English (written and spoken).

Responsibilities

• Designing, modeling, and building data solutions including data platforms and data warehouse architecture.
• Co-own data architecture, define technical direction, and drive data strategy with project teams.
• Lead and mentor team members, prioritise work, and provide technical guidance.

Skills

Data architecture

Data modelling

ETL/ELT

SQL

Python

R

Data warehousing

BI tools

Education

Degree in data science / software engineering / CS

Tools

Fabric

Snowflake

Databricks

dbt

MS SQL Server

Spark

Kafka

Dagster

Airflow

Terraform

Job description

Are you passionate about data and driven by the opportunity to make a real impact by helping companies turn facts into actionable insights? Do you thrive in dynamic environments, working with some of the most complex and modern data solutions on the market? Are you ready to take ownership of shaping data architecture? If so, you might be our next colleague.

In Data Management, you join a team that enables our customers to develop and manage their business based on data and knowledge.

As a Senior Data Architect, you will work in the intersection of technology and business. Data is at the core of everything we do, and our analyses, advice, and solutions consistently create real value for our customers. Your work involve developing technical solutions to collect, process, model, analyze, distribute, and visualize data.

To provide the best possible advice and support to our customers, we place great importance on staying up to date with the latest trends and technologies in data management. You will work with a broad range of market-leading technologies, including Fabric, Snowflake, Databricks, dbt, Microsoft SQL Server, Spark, Kafka, Dagster, Airflow, Terraform and others.

Responsibilities:

• Designing, modeling, and building data solutions such as data platforms, data warehouse architecture, and business intelligence applications.
• Taking co-ownership of data architecture, defining technical direction, and driving customer advisory, data strategy, and business analysis in collaboration with the project team and customer.
• Leading and mentoring team members, prioritizing and organising work, and providing technical guidance and direction.
• Quickly getting up to speed on existing solutions and taking ownership of them, while defining the right path forward for new projects based on best practices.
• Performing technical quality assurance and reviews on data models, ETL processes, and solution architecture across projects.

About you

You hold a relevant degree in data science, software engineering, computer science, mathematical modelling, or a similar field, along with solid professional experience in data management. Through your professional experience, you have gained deep technical expertise and a structured, logical approach to solving complex data challenges. As a Senior Data Architect, you are comfortable stepping into a leadership role guiding both people and the technical direction, and you thrive in a collaborative, development-oriented environment with a focus on continuous learning.

To succeed in this role, you have significant experience with:

• Designing and implementing data solutions, including data modelling, ETL/ELT, and data warehousing.
• Multiple languages and technologies such as various versions of SQL, Python, and R, as well as Fabric, Snowflake, dbt, Microsoft SQL Server, Databricks, Dagster, Terraform and others.
• Business Intelligence tools such as Power BI, Tableau, or similar.
• Supporting customers and colleagues through professional expertise and guidance.
• Full professional proficiency in Danish and English (written and spoken) is a must.

Continue developing with us

At Netcompany, we focus on your personal and professional development. When you join us, you will be assigned a personal mentor who will guide you through your development and help you achieve your goals. The close relationship with an experienced colleague helps ensure the well‑being of each employee and provides you with concrete insights into the many different career opportunities as you build your experience.

Additionally, you will be enrolled in our internal training programme, Netcompany Academy, where you are offered courses and seminars on everything from technologies to customer management. All courses are taught by experienced Netcompany colleagues, ensuring that all content is highly relevant and builds upon your professional skills, preparing you for various tasks and continuously improving your expertise throughout your career with us.

Join an inclusive community

At Netcompany, we highly prioritise an inclusive community. We actively promote an open and welcoming work culture based on collaboration and mutual trust, where there is always an opportunity for sparring.

As part of our culture and values, all employees, regardless of background, identity, and experience, are met with understanding and respect and given equal opportunities for development and well‑being.

As we are an international company with offices in many countries, you will have the opportunity to learn and collaborate internationally with colleagues from across the world. We offer a shared environment where we engage with each other across departments and projects. Additionally, we have a wide range of social and professional events that provide you with the best opportunities to expand and build a network early in your career.