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Responsible for stakeholder management, designing business and solution architectures, and ensuring sustainable implementation of enterprise architectures in a hybrid work environment.

Design, implement, and manage scalable cloud-native batch and real-time data pipelines. Process structured and unstructured data, optimize ETL/ELT and data models, evaluate new tools, collaborate with data scientists and analysts, automate Unix-based operations, and document best practices.

Design and own enterprise data architectures (lakes, lakehouses, streaming, feature stores). Advise stakeholders, define governance and metadata practices, drive delivery across projects, mentor teams, and contribute to practice growth and presales.

As a Data Steward at Diconium, you'll support Data Owners with metadata management, data product modeling in Collibra, and collaborate across teams.

Serve as a solution-focused IT Consultant/Solution Architect advising clients across scoping to go-live. Design end-to-end, scalable, secure architectures, model business processes (esp. e-commerce), produce implementation artifacts (diagrams, ADRs, API contracts, runbook inputs), evaluate technologies, build proofs-of-concept, mentor teams, and support delivery through code reviews and hands-on implementation when needed.

Design, build, and operate cloud-native, containerized data analytics and streaming platforms. Implement microservices, storage, and real-time IoT pipelines; manage cloud and container services, CI/CD environments, and advise developers on deployments and architectures.

Design, implement, and operate batch and real-time data pipelines. Ingest and process structured, semi-structured, and unstructured data using Spark, streaming platforms, and ETL tools. Monitor and optimize pipeline performance, support stakeholders on technology decisions, and enable clients to build data products across industries.