Senior Data Architect & Data Engineering Leader

Sia

Maastricht

Hybrid

EUR 90,000 - 130,000

Full time

11 days ago

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Benefits offered by this job

Competitive salary package

Annual salary increases

Bonuses

NS Business Card

Tailored training and development

Flexible working arrangements

International project exposure

Collaborative global environment

Job summary

Sia is a next-generation, global management consulting group. We are recruiting Senior Consultants specializing in Data Architect solutions to lead client engagements, design data pipelines, manage stakeholders, and ensure delivery from strategy through execution.

You will work on data architecture, cloud platforms (AWS/Azure/GCP), databases, DataOps, and mentoring junior consultants across client projects. Flexible arrangements and international exposure are available.

Qualifications

WO Master’s degree in Data Science, Econometrics, Applied Mathematics, Computer Science, (Energy) Engineering, or a related technical field involving substantial programming.
3–6 years of relevant professional experience (or equivalent academic research).
Strong analytical mindset with systematic problem-solving abilities.
A fast learner who demonstrates strong communication skills, adaptability, and entrepreneurial drive.
You have a strong interest in data and AI-related topics, the ability to quickly build expertise in these areas, and you’re excited about helping our clients seize the opportunities they offer.
Fluency in Dutch, with excellent communication and presentation abilities. German or French fluency is a plus.
Proven interest in Data Engineering.

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.