Senior Data Architect

About the Role

We are seeking a highly skilled and experienced Senior Data Architect to lead the design and implementation of our next-generation data and machine learning platform. This is a critical role that will shape the future of our data infrastructure and drive innovation across the organization. You will work closely with cross-functional teams, including data scientists, engineers, analysts, and business stakeholders, to create scalable, robust, and high-performance data solutions that will fuel our growth and decision-making processes.

Key Responsibilities

Lead Architecture Design: Design and build a scalable, secure, and efficient data platform that supports both traditional analytics and machine learning workloads.
Strategic Leadership: Collaborate with stakeholders to define the data strategy, governance policies, and architecture roadmap, ensuring alignment with business goals.
Data Integration: Oversee the integration of data from various sources, ensuring data quality, consistency, and availability for all downstream processes.
ML Platform Implementation: Lead the design and deployment of a machine learning platform that supports the entire ML lifecycle, from data preprocessing to model deployment and monitoring.
Technology Evaluation: Evaluate and recommend new technologies, tools, and frameworks to ensure our data architecture is cutting-edge and future-proof.
Mentorship: Provide technical leadership and mentorship to junior data engineers and other team members, fostering a culture of continuous learning and innovation.
Compliance and Security: Ensure all data solutions comply with relevant data privacy regulations and best practices in data security.

Your Profile

Minimum of 5 years of experience in data architecture, data management, data engineering/analysis or related fields with at least 3 in a senior or lead role.
Proficiency in data modeling, data warehousing, ETL processes, and data governance.
Expertise in SQL, NoSQL databases, and big data technologies (e.g., Hadoop, Spark).
Strong experience with modern data architecture frameworks, data lakes, data warehousing solutions, and cloud platforms such as Azure (or equivalent).
Experience in designing data and machine-learning platforms.
Strong analytical skills and experience solving complex data challenges in a dynamic environment.
Excellent communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.
English and Czech: both spoken and written.

What DODO Offers

Interesting work in one of the TOP3 European last-mile companies with the opportunity to grow with DODO.
Annual bonus scheme, meal allowance, and discounts with some of our partners.
Work from a new dog-friendly office in Prague – Karlín (near metro station Křižíkova).
Flexible working hours and the possibility of home-office.
An informal working environment where we feel comfortable, motivated, and supported to be creative and to do our best.
To be part of the "trendsetter" culture and participate in introducing new, unique processes and participate in international projects at the Group level.
Various company events such as All Hands meetings, inspirational breakfasts, or company-wide teambuilding.
Opportunities for continuous development - through our internal DODO Academy or various external trainings, conferences, and workshops.
Multisport card at a discounted price.
5 weeks of vacation.

Join us and be a part of a dynamic team that is shaping the future of logistics and technology.