Data Architect / Lead Data Engineer (Spark)

Addepto is a leading AI consulting and data engineering company that builds scalable, ROI-focused AI solutions for some of the world's largest enterprises and pioneering startups, including Rolls Royce, Continental, Porsche, ABB, and WGU. With our exclusive focus on Artificial Intelligence and Big Data, we help organizations unlock the full potential of their data through systems designed for measurable business impact and long-term growth.

Beyond client projects, we have developed our own product offerings born from real-life client insights and challenges. We are also actively releasing open-source solutions to the community, transforming practical experience into tools that benefit the broader AI ecosystem. This commitment to scalable innovation, proven ROI delivery, and knowledge sharing has earned us recognition by Forbes as one of the top 10 AI consulting companies worldwide.

As a Data Architect / Lead Data Engineer, you will have the exciting opportunity to work with a team of technology experts on challenging projects across various industries, leveraging cutting-edge technologies. Here are some of the projects we are seeking talented individuals to join:

• Design and development of the platform for managing vehicle data for global automotive company. This project develops a shared platform for processing massive car data streams. It ingests terabytes of daily data, using both streaming and batch pipelines for near real-time insights. The platform transforms raw data for data analysis and Machine Learning, this empowers teams to build real-world applications like digital support and smart infotainment and unlocks data-driven solutions for car maintenance and anomaly detection across the organization.

• Design and development of a universal data platform for global aerospace companies. This Azure and Databricks powered initiative combines diverse enterprise and public data sources. The data platform is at the early stages of the development, covering design of architecture and processes as well as giving freedom for technology selection. 

This role represents a gradual shift away from hands-on coding towards a more strategic focus on system design, business consultation, and creative problem-solving. It offers an opportunity to engage more deeply with architecture-level decisions, collaborate closely with clients, and contribute to building innovative data-driven solutions from a broader perspective.

🚀 Your main responsibilities:

• Design and develop scalable data management architectures, infrastructure, and platform solutions for streaming and batch processing using Big Data technologies like Apache Spark, Airflow, Iceberg.

• Design and implement data management and data governance processes and best practices.

• Contribute to the development of CI/CD and MLOps processes.

• Develop applications to aggregate, process, and analyze data from diverse sources.

• Collaborate with the Data Science team on data analysis and Machine Learning projects, including text/image analysis and predictive model building.

• Develop and organize data transformations using DBT and Apache Airflow.

• Translate business requirements into technical solutions and ensure optimal performance and quality.