Principal BI Developer at NTT Ltd.

• As part of a growing team, we need an experienced Principal BI Developer to join us on a journey to Understand, Design, Build and Modernise the FDLC (Full Development Lifecycle) of client BI Solutions. This role will not only enable you to lead some of the best developers in the region but also allow you to dictate key technical decisions that includes frameworks and tools being used into wider technical strategy/architectures.

Must have

• At least 15+ years proven production experience on Enterprise Data and BI Solutions.
• Hands-on production experience with the FDLC of Enterprise Data/BI Solutions.
• Technical Lead with production experience both Client and Developer facing.
• Extensive production experience with multiple client business processes in diverse Industries.
• You must be a hands-on technical lead developer (not just a people manager) with expertise and experience of at least one BI full stack from a main vendor (e.g. Microsoft Azure BI Stack, Snowflake BI Stack, Databricks BI Stack)
• This role requires your broad experience as generalist with expertise over the FDLC Enterprise BI Solutions and include a diverse and unique skills combination as follow.

Technical Lead (and potentially Team Lead)

• You will be the client facing collaboration lead and be the developer facing collaboration lead (lead a team of BI Developers on Enterprise Projects). You must also be able to collaborate across to managed services and support teams as the delivery of new solutions go to production as well as collaborate with client and Internal project managers, business managers and executives.
• If successful, you might also be appointed a side-by-side responsibility for the administration and facilitation of a fraction of the larger BI team members as a BI Team Lead (not necessarily developers that you are on project with).

Business Analysis and Estimation

• Production experience with client facing business analysis and requirements gathering specific to estimating and scoping the best fit design Data / BI solution for that client. Engagements may range from small “report only solutions” through larger enterprise Data / BI Solutions on either regular or even big data platforms. This can range on premise BI, Cloud BI (e.g. Azure, AWS, Google), Platform BI (Fabric, Snowflake, Databricks).
• Hands-On Technical Lead FDLC Enterprise Data / BI Solutions (Dimensional and Relational)
• You are a Technical Lead with production experience and expertise in at least all three Data/BI subdomains:

Business Analyst

• Client facing technical business analysis and requirements gathering and technical collaboration.
• Enterprise level project scope, design, estimation
• Technical Lead on Solution Design (FDLC)
• Technical Documentation (pre-, mid- and post project)
• Technical Project Management (Standup, Kanban, Sprint, Project Plans) – advantage
• Data Engineer (Dimensional but also some Relational)
• New data solution design (new solutions projects)
• Refactoring existing data solutions (migration projects)
• Extending existing data solution designs (augmentation projects)
• Microsoft Technologies core (SQL, Azure Data Flows and Pipelines, Azure Data Factory, Fabric, Synapse, Power BI, Power Query, SSIS, Data Streaming, IoT)
• Other Technologies advantage (Python, Snowflake, Databricks, Parque, Spark, Event)
• Database Platforms (SQL, Oracle, MySQL, PostgreSQL, Synapse, Fabric Warehouse, Azure SQL, Fabric SQL, Fabric DataLake, Fabric EventHouse (KQL)
• Data Analyst
• Dimensional Modelling
• Power BI Desktop and Service Semantic Models
• Azure Analysis Services
• Fabric Semantic Models
• Advantage with other modelling tools (e.g. Python, Qlik and Tableau, Google, AWS, Fabrick, Snowflake)
• Data Visualization (over Enterprise Semantic Models)
• Power BI Self Service Dashboards and Reports
• Excel Self Service Dashboards and Reports
• Power BI Paginated Reports
• One Lake Dashboards and Reports (Power BI Service / Fabric Platform)
• Advantage with other Data Visualization tools (Qlik, Tableau, Snowsight (Snowflake), Looker (Google), QuickSight (AWS))
• Data Analysis
• Trend Analysis
• Time Intelligence
• KPIs and Metrics
• Aggregation
• Periodic Analysis
• Story Telling with Dashboards
• Data Scientist (optional advantage)
• Production experience utilising GPTs to Mentor and Assist in Solution Design, Development and Testing (actually a must).
• Working knowledge of the Azure AI Foundry and related Tools and Concepts is a definite advantage.
• Utilising Agents and pursuing Agentic AI knowledge is a definite advantage
• Working understanding and practical experience with other Data Science philosophy’s, tools, platforms and development knowledge is a definite advantage.
• Production knowledge of building and implementing conversational Data Analysis and BI tools and techniques will be advantageous.

Advantages

Technical                           

• Working knowledge with data from a variety of mainstream source systems (e.g. SAP, Oracle EBS, Salesforce, SharePoint, Dynamics 365, Office 365, SQL based Systems)
• Working knowledge Master Data Management, Data Governance, Data Lineage (Purview)
• Working knowledge with public data, non-relational data, unstructured data, streaming data to enriching dimensional models
• Working knowledge with related technologies (e.g. IoT, Edge, Big data, Data Lakes, Data Streaming, Advanced Analytics, Machine Learning, Artificial Intelligence, Robotics)
• Experience building effective CI/CD tools and processes (ie.. Devops, Github)
• Working knowledge with the Microsoft Fabric, Snowflake, Databricks, AWS and Google platforms and their related BI stack(s)                                   

Non-Technical

• Stakeholder influence: The ability to clearly communicate your work and ultimately provide confidence to drive change in a business
• Business insight: The ability to understand complex business processes and break down fuzzy requirements into actionable segments
• Translating business requirements into technical ones
• Technical scoping and estimation for RFP process
• Technical documentation and post project documentation automation.
• Leading BI software development, deployment, and maintenance
• Coaching and training: The ability to collaborate effectively with both the client and team members - sharing your experience and helping others to grow their skillset

Qualifications

• Bachelor’s degree in computer science, Information Systems or equivalent experience
• If you have any Microsoft, Snowflake or Databricks Certification, you’re one step ahead.

Personal Traits

• Natural leader
• Friendly and easy going
• Goal oriented
• Passionate about problem solving
• Team-oriented
• Good communicator (any level)
• Self-motivated