Senior Data/Platform Architect (m/f/x) Full Time

TEKEVER spans several markets and covers a vast set of technological areas and, currently, the company focuses its research activities on the Air Ray class of autonomous systems.

Our mission is to bring to our customers the actionable intelligence they need to make the best decisions faster.

Job Overview:

• The Senior Data / Platform Architect will play a critical role in shaping the architecture and strategy of our Data & Analytics platform and pipelines. This position requires a deep understanding of data architecture, big data technologies and cloud platforms. The ideal candidate will have a proven track record in designing and implementing scalable data solutions and architectures that meet complex business requirements. This role involves collaborating with cross-functional teams to ensure our data platform is robust, scalable, secure and aligned with the company’s strategic objectives.

What will be your responsibilities:

• Architecture Design: Lead the design and development of scalable, high-performance and secure data platforms and pipelines that meet the needs of various business units.
• Technology Strategy: Define the technology stack and architecture standards for the data platform, ensuring alignment with industry best practices and emerging trends.
• Platform Development: Oversee the implementation and maintenance of the data platform, including data ingestion, storage, processing, management and analytics components.
• Data Integration: Develop strategies for integrating diverse data sources, ensuring seamless data flow and high data quality.
• Scalability and Performance: Design solutions that can scale with growing data volumes and ensure optimal performance across the data platform.
• Security and Compliance: Implement robust data security measures and ensure compliance with relevant regulations and industry standards.
• Collaboration: Work closely with data engineers, data scientists, business analysts and other stakeholders to understand data requirements and deliver effective solutions.
• Technical Leadership: Provide strong technical guidance to a team of Data Engineers. For an overview of what our Data Engineers do on a day-to-day basis, please refer to .
• Innovation: Stay up-to-date with the latest advancements in data technologies and drive continuous innovation within the data platform.
• Documentation: Maintain comprehensive documentation of the data platform architecture, processes and best practices.
• Profile and requirements:
• Education: Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems, or a related field.
• Experience: 7+ years of experience in data architecture, data engineering, or a similar role, with a focus on building large-scale Data & Analytics platforms and pipelines.
• Technical Skills:
• Strong experience with Data Platform reference architectures (e.g. Lambda architecture, Data Mesh).
• Deep knowledge of big data technologies (e.g., Hadoop, Spark, Kafka) and data warehousing solutions (e.g., Redshift, Snowflake).
• Extensive experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and their data services, with a focus on Google Cloud. Google Cloud certification is preferred.
• Experience with migration from on-premise to cloud and vice versa.
• Good knowledge of relevant security frameworks & standards.
• Proficiency in programming languages such as Python, Java, or Scala.
• Strong understanding of database management systems (e.g., SQL, NoSQL, NewSQL). Experience with SQL and database management systems (e.g., MySQL, PostgreSQL, SQL Server).
• Knowledge of data integration tools and frameworks (e.g., Apache Nifi, Talend, Informatica).
• Familiarity with data modeling, data warehousing and data governance practices.
• Experience with Iaac (e.g. Ansible, Terraform), data pipeline orchestration (e.g. Airflow), log exploration tools (e.g. Streamlit, Dash), data extraction (e.g. PostGIS, Kafka, Airflow, FastAPI), pandas, scikit-learn, Docker.
• Solid knowledge of DevOps best practices and tools: GIT, CI/CD, telemetry and monitoring, etc.
• Analytical Skills: Strong analytical and problem-solving skills with a focus on delivering scalable and efficient data solutions.
• Leadership: Proven technical leadership skills with the ability to mentor and guide technical teams.
• Communication: Excellent verbal and written communication skills, with the ability to effectively collaborate with technical and non-technical stakeholders.
• Project Management: Strong project management skills with the ability to manage multiple projects and priorities simultaneously.
• Attention to Detail: High attention to detail and a commitment to ensuring data quality and accuracy.
• Adaptability: Ability to work in a fast-paced, dynamic environment and manage multiple priorities simultaneously.

What we have to offer you:

• An excellent work environment and an opportunity to make a difference;
• Salary Compatible with the level of proven experience.

If the above excites you, apply now! Send your CV to jobs@tekever.com.