Data Architect

Sia
Amsterdam, Netherlands
3 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Working hours
Regular working hours
Job source

Tech stack

Amazon Web Services Microsoft Azure Cloud Computing Continuous Integration Data as a Services Data Architecture Information Engineering Data Integration Data Systems Database Design Distributed Computing Environment Distributed Systems
+11 more
Graph Database NoSQL DataOps Data Streaming Unstructured Data Management of Software Versions Google Cloud Apache Spark Real Time Data Apache Kafka Data Pipelines

Job description

To support our growth, we are recruiting Senior Consultants specializing in Data Architect solutions. You will lead client engagements, co-design data engineering solutions through close collaboration with clients, manage stakeholders, and ensure impactful project delivery from strategy through execution.

Responsibilities:

  • Data Architecture & Pipeline Design: Building robust, scalable data pipelines and architectures to enable efficient ingestion, processing, and delivery of large volumes of structured and unstructured data.

  • Cloud & Distributed Systems: Designing and implementing data solutions leveraging modern cloud platforms (e.g., AWS, Azure, GCP) and distributed computing frameworks (e.g., Spark, Kafka).

  • Database Design & Data Modeling: Developing logical and physical data models and optimizing database solutions for various data types and workloads, including relational, NoSQL, time-series, and graph databases.

  • Data Integration & Loading Patterns: Implementing best practices for batch, streaming, and real-time data integration, adapting to structured, semi-structured, and unstructured data sources.

  • CI/CD & DataOps Practices: Enabling continuous integration and deployment of data services and infrastructure, using modern DevOps tooling to ensure reliability, versioning, and automation in data workflows.

Within Sia itself you will:

  • Develop and enhance our Data Engineering offerings through internal training sessions, working groups, and internal/external publications.

  • Represent Sia at professional events, contributing actively to thought leadership initiatives (articles, white papers, webinars).

  • Drive business development by crafting compelling proposals, identifying new collaboration opportunities, and fostering long-term client relationships.

  • Manage client engagements, serving as a trusted advisor and subject matter expert to middle and senior-level management.

  • Supervise and mentor junior to medior consultants, guiding their professional growth, reviewing deliverables, and facilitating the development of technical and interpersonal skills.

Requirements

  • Analytical thinker with a structured and proactive approach.

  • Experienced communicator capable of clearly articulating complex technical ideas to varied audiences.

  • Effective stakeholder manager, comfortable guiding teams through project delivery.
  • Demonstrated ability to mentor colleagues and facilitate professional development.

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Good distractions

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