Data Architect

togaether, one single straightforward word with a playful touch representing our mission and principles in a concise manner. togaether is a scale-up specialized in building modern data platforms, where raw data is collected (to gather) and transformed into reliable information. We consider good collaboration (together), both within our organization and in our relationships with clients and external partners, as the key to success. togaether fosters a people-oriented culture, characterized by approachability, transparent communication, and an interactive platform.

To strengthen our sustainable growth, we are searching for an experienced Data Architect who can lead our team to new heights. Within togaether, we work with a wide spectrum of technologies, including Azure, AWS, GCP, Snowflake, Databricks, and Python.

Who is our brand new Data Architect?

As a Data Architect, you play a crucial role in shaping and implementing advanced data architectures and solutions for our clients. You possess deep technical expertise and are passionate about data modeling, integrity, and security. With your leadership qualities, you inspire the team and elevate our data architecture to a higher level.

Your key responsibilities include:

• As a Data Architect, you contribute to the development of the organization's overarching data strategy and the creation of long-term plans for data management and data architecture.
• You determine the appropriate technologies and tools required to support the data architecture, such as databases, data warehouses, data lakes, and cloud services.
• You design data models that define the structure and relationships of the data within the organization. This includes understanding business needs and translating them into effective and efficient data models.
• You work on policies and procedures for data management, data privacy, and security to ensure that data is managed securely and in compliance with regulations.
• You identify and seek solutions for performance issues within the data infrastructure, including optimizing queries and enhancing overall system performance.
• You collaborate with various stakeholders, including analysts, developers, data scientists, and administrators, to ensure that the data architecture aligns with the organization's needs.