Lead Data Engineering Architect

h3adesso Belgium, who are we? /h3 pWe are an IT (start-up) provider working under the adesso umbrella with a proven track record in different industries. bThe new Belgian entity of adesso /b is part of the expansion and growth strategy of the adesso group. With more than 12,000 employees spread over 70 locations, we are entering an exciting period with our presence in Brussels, the capital of Europe. /p pAt adesso Belgium, we combine the bentrepreneurial energy /b of a bgrowing local organisation /b with the bexpertise /b and breach /b of an binternational technology group /b. Our Data AI practice helps clients turn data into measurable value by designing and delivering secure, scalable and production-ready platforms. /p br/ h3Your role /h3 pAs bLead Data Engineering Architect /b, 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. /p pWorking 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. /p pYou 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. /p pAs 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. /p ul lipparticipate 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. /p /li lipAct as the primary technical contact for clients, building trusted relationships with delivery stakeholders, sponsors and decision-makers. /p /li lipCoordinate between one and four engagements, maintaining clear priorities, delivery plans, dependencies, risks, decisions and escalation paths. /p /li lipTake ownership of scope and architecture decisions, with broader staffing and delivery choices made in close collaboration with the Practice Lead. /p /li lipLead operational steering meetings, communicate progress transparently and manage technical issues, delays, consultant transitions and scope changes. /p /li lipSafeguard delivery quality through architecture reviews, engineering standards, technical assessments and hands-on quality checks. /p /li lipIdentify follow-on opportunities within existing engagements and bring them to Sales and the Practice Lead without compromising delivery focus. /p /li /ul h3Architecture and engineering leadership /h3 ul lipDesign and evolve modern cloud data platform architectures, primarily across Microsoft Azure, Databricks and Microsoft Fabric, with Snowflake experience considered an advantage. /p /li lipRemain hands‑on when required, particularly in Python, PySpark, Terraform, Infrastructure as Code and CI/CD. /p /li lipDefine scalable patterns for ingestion, transformation, orchestration, security, monitoring, deployment and operational quality. /p /li lipTranslate business and non‑functional requirements into pragmatic architecture choices and executable delivery plans. /p /li lipChallenge designs constructively, coach engineers and ensure that solutions are maintainable, secure, cost‑conscious and ready for production. /p /li lipContribute across adjacent Data AI topics when an engagement requires cross‑domain collaboration. /p /li /ul h3Pre‑sales and practice contribution /h3 ul lipSupport technical qualification, solution shaping, architecture, effort estimation, staffing, planning and risk assessment for new opportunities. /p /li lipPresent and defend proposed solutions with clients, supported by the Practice Lead where appropriate. /p /li lipRun technical interviews and provide a clear go/no‑go recommendation for Data Platform Engineering candidates. /p /li lipHelp shape recruitment priorities and support the certification and competence development of consultants. /p /li lipRepresent 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. /p /li /ul h3Your profile /h3 h3Must have /h3 ul lip9+ years of experience in Data Engineering, Cloud Data Platforms, Data Architecture or Technology Consulting. /p /li lipStrong expertise in Microsoft Azure and Databricks, with experience delivering modern cloud‑based data platforms. /p /li lipSolid hands‑on experience with Python, PySpark and modern data engineering practices. /p /li lipExperience designing and delivering scalable, secure and maintainable data solutions in