Almere, Flevoland, Netherlands
Rachit is a senior Data & AI leader with 16+ years of experience shaping and delivering cloud‑based data platforms and Microsoft‑centric architectures. He partners with business and technology stakeholders to turn strategic ambitions into scalable, secure, and production‑ready solutions. Alongside leading architecture and delivery, Rachit plays a key role in pre‑sales—qualifying opportunities, shaping solution designs, conducting discovery workshops and demos, and creating compelling proposals and go‑to‑market assets. As a practice lead, he drives capability development, delivery governance, and the creation of reusable frameworks that elevate quality across teams. Rachit also leads several AI initiatives, from organizing Agentic AI events and developing localized demo assets to crafting narratives that help clients understand how AI can accelerate transformation. His work focuses on enabling organizations to unlock real value from modern cloud, data, and AI technologies. List of Certifications: TOGAF 9.2 (Foundation & Practitioner Certified - Level 1 & 2) Certified Information Management Professional (CIMP Ex) Professional Scrum Master™ I (PSM I) Azure (AZ-900, DP-900, DP-203, AZ-204, DP-500) Databricks (Lakehouse Fundamentals & Data Engineer Associate) Microsoft Fabric (DP-700, DP-600) IBM (Infosphere 9.1 & 11.5) Alteryx 2x Base SAS 9.0
Leads cloud, data, and AI transformation across multi‑program portfolios, combining hands‑on architecture, strategic pre‑sales, and executive storytelling. Translates strategy into scalable architectures and AI solutions that strengthen data platforms, integration, and enterprise adoption. Architecture & Transformation #Designs cloud‑native data platforms, enterprise architectures, reporting modernization, and migration programs. #Defines blueprints, integration patterns, security models, KPIs, and operating models for scalable Data & AI adoption. #Guides cross‑functional teams to deliver consistent, high‑quality outcomes. Strategic Pre‑Sales #Leads qualification, discovery, demos, solution design, estimation, and proposals. #Builds compelling narratives, pitch decks, and value propositions aligned to business goals. AI Leadership #Drives M365 Copilot activation, AI readiness, and adoption pathways. #Delivers demos, workshops, and real‑world AI/GenAI use cases. #Supports AI agent and automation workflows across organizations. Practice Leadership #Develops accelerators, standards, governance, and roadmaps to improve delivery. #Mentors architects and engineers, strengthening team capability. Representative Work Lead Data Architect (Healthcare): Designed Azure/Fabric/Databricks platforms; delivered vision, roadmaps, HLD/LLD; enabled Copilot and AI agents. Lead Data Architect (Financial Services): Defined strategy and principles for European‑scale platforms, including containerized workloads using AKS/ACS and ACR. Cloud Platform Architect (Retail/Manufacturing): Delivered Azure CAF, Bicep IaC, CI/CD, container platforms, security, networking, and metadata pipelines. Cloud Data Architect (Healthcare): Delivered data modeling, engineering (ADF, ADLS, DevOps), and Power BI reporting. Solution Architect (Public Sector): Designed ETL/CDC pipelines and engineering processes using SQL, Git, and Azure.
# Project lead activities (Onboarding, coaching, scheduling, interviews etc..). # Designed data platform architecture. # Created solution vision, design document, Product roadmap etc. # Data engineering using Pyspark, Synapse, ADF, ADLS, DevOps etc. # Mentorship
# Designing and implementing Azure cloud adoption framework. # Designing networking, virtual networks and other security solutions. # Delta Lake implementation. # Automated ADF & Synapse deployment pipelines using Azure DevOps. # Metadata-driven data pipeline using ADF and Synapse. # Provide effective knowledge transfer and upskilling to relevant customer personnel to ensure an appropriate level of future self-sufficiency.
# Architectural decisions and changes. # Data modelling. # Data engineering using ADF, ADLS Gen2, DevOps, PL/SQL, etc. # Reporting using PowerBI.
# Lead the team with requirement gathering, analysis, design & implementation from the client location. # Responsible for collaboration with other teams. # Hands-on experience with modern distributed data processing stack like Hadoop, Spark, Kafka, Flume, Pig, Cloudera etc. # Build reports to analyse telecom use cases. # Successful evaluation from various Big Data tools available in the market. (Qlik, Zoom Data, Trifacta, KNIME, RAPID MINER)
# Worked directly with several stakeholders from different countries in successfully pitching Tele2 EDW and Data mining solution. # Data modelling using focal point data warehouse framework. # Lead the team with requirement gathering, analysis, design, implementation & migration activities. # Designed and implemented highly successful Data Mining and Campaign Solution in TELE2. # Developed complex Jobs and sequences for various source systems; including NV, Staging, DDW, BDW and EDM ETL areas. ETL job performance and Query tuning. # In-depth knowledge of the telecom domain. (e.g. Customer, CDR's, Contacts, Buckets, Portation, Migration, Handset, Survey etc.)
# Lead a small track (2-4 members) # Responsible for delivery of Middle East sites. # Mentoring new employees to the project. # Communicating with onsite team to understand and develop the code.
# To design & develop a large data warehouse and data marts. Normalization of the technical design. # Developer Role
# Learned to commission a power plant. # Solve systems errors. # Data analysis of system output and take necessary action on physical equipment. # Manage & help technicians during shifts.