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Data Architect


Overview

In this role you will lead client engagements to design and deliver scalable data architectures and pipelines. You will co-design data engineering solutions with clients, mentor teams, and contribute to thought leadership and business development. You’ll work across cloud platforms and modern data technologies to enable large-scale data ingestion, processing, and delivery, shaping our Data Engineering offerings. This opportunity combines hands-on technical ownership with client advisory in a collaborative, growth-driven firm.

Arbeidsvoorwaarden / Benefits
  • competitive salary package
  • annual salary increase
  • bonuses
  • NS Business Card
  • tailored training and development opportunities
  • flexible working arrangements
Verantwoordelijkheden
  • Lead data architecture and pipeline design for large-scale data initiatives
  • Design and implement data solutions on cloud platforms (AWS, Azure, GCP) and distributed frameworks (Spark, Kafka)
  • Model and optimize relational, NoSQL, time-series, and graph databases
  • Oversee data integration patterns (batch, streaming, real-time) across structured and unstructured data
  • Implement CI/CD and DataOps practices to automate data workflows and ensure reliability
  • Develop and enhance Sia's Data Engineering offerings through training and publications
  • Represent Sia at events and contribute to thought leadership
  • Drive business development by crafting proposals and managing client relationships
  • Mentor junior to medior consultants and support their professional growth
  • Manage client engagements as trusted advisor to mid- and senior-level management
Belangrijkste vereisten
  • 3-6 years of relevant professional experience (or equivalent academic research)
  • Fluency in Dutch; German or French a plus
  • Strong analytical mindset and problem-solving abilities
  • Excellent communication and presentation skills
  • Proven interest and ability in Data Engineering and AI topics
  • Experience with Databricks, Snowflake, and Azure (as indicative stack)
  • Ability to quickly build expertise in data/AI areas and help clients seize opportunities
  • Experience in stakeholder management and project delivery
  • analytical thinker
  • structured and proactive approach
  • clear communication
  • Databricks
  • Snowflake
  • Azure

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