Data (Platform) Architect Remote
Salary: Market related
Duration: 12-month contract
Revolutionise Data Management as a Data (Platform) Architect in a Leading Tech Firm!
Is this you?
Are you an experienced Data (Platform) Architect with a knack for hands-on engineering? If you’re proficient in technologies like Apache Kafka, and are eager to explore Apache Beam, Apache Spark, Apache Flink, and more, this role is perfect for you.
What you’ll be doing (and why you’ll enjoy it)
You will leverage your hands-on engineering experience to design a state-of-the-art on-premise data platform. You’ll work according to Data Mesh principles, ensuring robust data management. This role allows you to immerse yourself in a variety of technologies, creating a dynamic and innovative work environment that encourages continual learning and skill development.
Where you’ll be doing it
Our client is an esteemed tech firm celebrated for its innovative approach to data management and software development. They are committed to delivering top-notch solutions and fostering a collaborative, forward-thinking culture.
What you’ll need
A strong foundation in data platform architecture and hands-on engineering. Experience with Apache Kafka and a willingness to dive into other potential technologies such as Apache Beam, Spark, Flink, dbt, HDFS, and Airflow is crucial. Proficiency in Kotlin and Python, along with the ability to quickly learn new programming languages, is required. Additionally, skills in DevOps and Kubernetes will be highly beneficial for this role.
What you’ll get
The opportunity to work remotely, providing flexibility and a work-life balance. You’ll be part of a forward-thinking company that values innovation and professional growth. This role offers the chance to lead significant projects, work with cutting-edge technologies, and be part of a collaborative and supportive team.
How to apply
For a confidential discussion please contact Judy Engelbrecht on (010) 065 1655 / 083 607 3333 or send your CV to judy.engelbrecht@ttec.co.za.
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