Get a reply from this employer
Your resume and cover letter, tailored to exactly what they’re hiring for.
Sia is a leading global management consulting group focused on data-driven transformation. We seek Senior Consultants in Data Architecture to lead client engagements and co-design scalable data engineering solutions, collaborating with clients to ensure impact from strategy through execution.
You will drive data architecture, cloud-based pipelines, and data modeling while mentoring juniors and expanding our Data Engineering offerings across internal and external initiatives.
Sia is a next-generation, global management consulting group. Founded in 1999, we were born digital. Today, our strategy and management capabilities are augmented by data science, enhanced by creativity, and driven by responsibility. We’re optimists for change, helping clients initiate, navigate, and benefit from transformation. Optimism is our force multiplier, mitigating downside and maximizing opportunity. With expertise across a broad range of sectors and services, our 3,000 consultants serve clients worldwide from 48 locations in 19 countries. Our expertise delivers results; our optimism transforms outcomes.
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.
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.
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.
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.
Completed WO Master's degree in Data Science, Econometrics, Applied Mathematics, Computer Science, (Energy) Engineering, or a related technical field involving substantial programming.
The specific stack that you will work with will depend on the client but, as an indication, we commonly work with Databricks, Snowflake and Azure.
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.
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.
Competitive salary package, including annual salary increase, bonuses, and NS Business Card.
Tailored training and development opportunities to position you as an expert in your field.
Flexible working arrangements (office, home, client sites) and international project exposure.
Collaborative global environment fostering professional growth and knowledge sharing.
Unfortunately, we are unable to provide a work permit for this position.
Sia is an equal opportunity employer. Employment decisions—including hiring, promotion, remuneration, or disciplinary actions—are based solely on performance, competence, conduct, and business needs.