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You will be updated with latest job alerts via emailWe are seeking an experienced BI Architect / Project Lead to guide and oversee a major initiative to modernize our customers business intelligence and reporting architecture.
As this initiative will evolve at a deliberate pace due to business constraints we expect this engagement to be a 50% position providing ample time to collaborate with internal stakeholders assess needs and drive change sustainably. The consultant will lead the design and implementation of a Data Lakehouse architecture using cloudbased platforms manage the selection of BI tools and develop a longterm roadmap for transforming our current BI landscape. This includes selecting the right platform (Google Cloud Azure or similar) performing a ProofofConcept (PoC) and defining standards for selfservice reporting tools like Qlik SAP Analytics Cloud or Power BI. The consultant will also work on identifying thirdparty partners define a clear migration path from our current Microsoft SQL Serverbased data warehouse and create a highlevel plan and budget for the full BI/Reporting transformation project.
Key Responsibilities:
Architecture & Strategy
Consult and advise on the development of a scalable Data Lakehouse architecture using modern cloudbased services (Google Cloud Azure or similar). Collaborate with business stakeholders to assess current BI and reporting needs and define a futurestate architecture that meets business goals. Lead the process of selecting a Data Lakehouse platform providing objective guidance on the best cloud service (Google Cloud Azure Databricks etc.) for the companys needs. Recommend and establish a selfservice reporting tool standard (Qlik SAP Analytics Cloud Power BI Tableau Looker or similar) that supports business users needs for access to analytics and data.
Proof of Concept & Implementation
Manage and potentially help develop a ProofofConcept (PoC) to validate the architecture and selected BI tools working closely with internal teams to demonstrate the value of the proposed solution. Define the steps for the transition from our Microsoft SQL Server Data Warehouse to the new Data Lakehouse environment ensuring coexistence during transition and minimal disruption. Lead the integration of key data sources into the new architecture validating data quality and system performance during the PoC.
Project Management & Partner Collaboration
Work with the companys internal team to create a highlevel project plan including key milestones timelines and a clear migration path from the current system. Identify and engage potential thirdparty partners and vendors to provide expertise and support during implementation and migration. Provide consultative support in estimating costs and developing a budget for the full BI/Reporting project ensuring that the plan aligns with both technical requirements and business constraints.
Governance Standards & Best Practices
Align and evolve guidelines for data governance security and compliance within the new architecture ensuring best practices are followed. Establish standards for documentation and guidelines for data warehousing BI development and selfservice reporting to ensure scalability and maintainability. Recommend industry best practices for managing data privacy and security in line with regulatory requirements and company policies.
Need to have
5 years of experience as a BI architect data engineer or project lead with a focus on modern cloudbased data architectures.
Demonstrated experience in designing and implementing Data Lakehouse architectures using cloud platforms (Google Cloud Azure Databricks or similar).
Expertise in BI tools (Qlik SAP Analytics Cloud Power BI Tableau or similar) including setting up environments for selfservice reporting.
Experience leading ProofofConcept (PoC) initiatives and successfully transitioning data architectures from traditional data warehouses to cloudbased solutions.
Strong project management skills with the ability to work at a sustainable pace aligning with internal business readiness
Nice to Have
Prior experience in Fashion/Retail industries or a similar dynamic business environment. Handson knowledge of machine learning or AIpowered analytics as part of a modern data architecture. Experience with ERP systems (e.g. SAP) or retailspecific platforms providing a wellrounded understanding of business data needs.
Full Time