Date Core Services Architect (m/f/d)
Responsibilities
- Design and prototype scalable data architectures, including databases, data lakes, and data warehouses as managed services in the private cloud (i.e. K8s based).
- Design and prototype functionalities for these managed services, such as backup/restore, IAM, observability integration etc. and update/upgrade schemes
- Design and specify managed services adhering to product specification, as well as SLAs
- Design and prototype Kubernetes-based deployment strategies for scalable, highly reliable, and manageable data technologies.
- Evaluate different Data technologies options for finding the best basis for managed services
- Design and prototype cross-cutting aspects across different Data services in a consistent and coherent way
- Collaborate with Services, DevOps and Infrastructure teams to optimize data technology deployment processes within a Kubernetes environment.
- Document best practices for knowledge sharing and future reference
- Work closely with engineering team to ensure proper implementation of defined architecture, alignment on tech stack decisions, compliance with architecture standards
Profile
- Proven hands-on software development experience
- Proficiency in data processing languages such as SQL, Java, Python or Scala
- Deep K8s skills and experience, deep Data-speciifc K8s skills and experience (e.g. k8s operators’ development experience and/or k8s operators for Big Data technologies)
- Knowledge and experience with the Data technologies/frameworks: RDBMS (PostgreSQL/MySql etc.), NoSQL Storages (MongoDB, Cassandra, Neo4j etc.), Timeseries (InfluxDB, OpenTSDB, TimescaleDB, Prometheus etc.), Workflow orchestration (AirFlow/Oozie etc.), Data integration/Ingestion (Flume etc), Messaging/Data Streaming (Kafka/RabbitMQ etc.), Data Processing (Spark, Flink etc.)
- And/Or with their Cloud provided counterparts, i.e., Cloud Data/Analytics services (GCP, Azure, AWS)
- Knowedge of Data technologies not only just from usage but also from deployment prospective and experince with on-prem deployments
- Knowledge and experience with reference Big Data architectures (Warehouse, Data Lake, Data Lakehouse) and their implementation.
- Experience in implementing and operating data intensive applications
- Strong focus on DataOps/DevOps, In-depth knowledge of best practices in data privacy and data protection, Proven experience with DataMesh principles in practice, Data platform development and/or operations experience, Knowledge and experience in lifecycle management in Data (e.g. CD4ML, MLOps, …)
Benefits
- Continuous support during the assignment
- Dynamic and innovative market environment
- Fascinating, innovative environment in an international atmosphere
- Hays helps you gain a foothold in innovative companies
About Hays
IT is and always has been our core business that laid the foundation for Hays' success. We are the biggest privately owned IT recruitment agency in Germany and offer the best jobs for every career level – whether you are interested in vacancies in agile SMEs or international DAX groups. Hays masters the entire IT job spectrum, from support to software architecture or digitalisation – thanks to our broad portfolio, we have something for everyone. In the last decades, we were able to support numerous IT experts with choosing the right path for a successful career, positioning ourselves as their lifelong partner. Our highly specialised consultants can cater to your every wish and expectation and will prepare you for interviews and contract negotiations. Give it a try and learn what the market has to offer – our services are free of charge, non-binding and discreet! We look forward to hearing from you.
Staffing process for freelance specialists
- Analysis of qualifications
- Telephone or personal interview
- Contact with customers
- Contract with Hays
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1. Analysis of qualifications
We carry out a detailed analysis of your technical qualifications on the basis of your CV, your application documents and your profile.
Contact at Hays
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