As Lead Data Engineering Architect, you will be a senior technical leader and trusted advisor for our clients. You will combine architecture expertise, hands-on engineering know-how and delivery leadership to help our customers design, build and evolve modern data platforms.
Working closely with the Practice Lead and a growing team of consultants, you will play a key role in shaping delivery success, guiding technical decisions, mentoring engineers and supporting the continued growth of our Data & AI practice in Belgium.
You will lead architecture and delivery activities across multiple client engagements, act as a trusted technical counterpart for stakeholders, and help translate business objectives into scalable, secure and production-ready data platform solutions.
As the practice continues to grow, you will have the opportunity to progressively expand your responsibilities in areas such as client development, pre-sales, recruitment, coaching and practice leadership.
participate the end-to-end delivery of Data Platform & Engineering engagements, from initial scoping through kick-off, onboarding, execution, steering, quality assurance and closure of the delivery.Act as the primary technical contact for clients, building trusted relationships with delivery stakeholders, sponsors and decision-makers.Coordinate between one and four engagements, maintaining clear priorities, delivery plans, dependencies, risks, decisions and escalation paths.Take ownership of scope and architecture decisions, with broader staffing and delivery choices made in close collaboration with the Practice Lead.Lead operational steering meetings, communicate progress transparently and manage technical issues, delays, consultant transitions and scope changes.Safeguard delivery quality through architecture reviews, engineering standards, technical assessments and hands-on quality checks.Identify follow-on opportunities within existing engagements and bring them to Sales and the Practice Lead without compromising delivery focus.Architecture and engineering leadership
Design and evolve modern cloud data platform architectures, primarily across Microsoft Azure, Databricks and Microsoft Fabric, with Snowflake experience considered an advantage.Remain hands-on when required, particularly in Python, PySpark, Terraform, Infrastructure as Code and CI/CD.Define scalable patterns for ingestion, transformation, orchestration, security, monitoring, deployment and operational quality.Translate business and non-functional requirements into pragmatic architecture choices and executable delivery plans.Challenge designs constructively, coach engineers and ensure that solutions are maintainable, secure, cost-conscious and ready for production.Contribute across adjacent Data & AI topics when an engagement requires cross-domain collaboration.Pre-sales and practice contribution
Support technical qualification, solution shaping, architecture, effort estimation, staffing, planning and risk assessment for new opportunities.Present and defend proposed solutions with clients, supported by the Practice Lead where appropriate.Run technical interviews and provide a clear go/no-go recommendation for Data Platform & Engineering candidates.Help shape recruitment priorities and support the certification and competence development of consultants.Represent the practice credibly in client discussions and, over time, contribute to reusable assets, delivery standards, partner activities and the evolution of the Data Platform offering.
