Data Architect

Role Description

As part of the newly established AI Center of Excellence (COE), our client's organization is defining the technical blueprint for a centralized enterprise data repository. This role functions as the foundational data architect responsible for structuring the commercial data assets that fuel the company’s global Sales and Go-To-Market (GTM) strategies.

• Senior Data Architecture Expertise: Extensive track record designing scalable enterprise data lakes, data warehouses, and complex ETL/ELT data pipelines from scratch.
• Mastery of the Microsoft Data Stack: Deep, hands-on technical proficiency with the modern Microsoft ecosystem, specifically Microsoft Fabric, alongside Azure data analytics components.
• Commercial & GTM Business Acumen: Strong familiarity with B2B enterprise sales metrics and pipelines, with the ability to turn raw commercial data into highly structured, analytics-ready models.
• Autonomous Execution: Proven capability to work independently in an environment without pre-existing data legacy standards, delivering architectural designs alongside concrete, rapid technical implementations.

• Data Lakehouse Architecture: Define the standards, blueprints, and architectural design for a brand-new, centralized data repository built from the ground up.
• Enterprise Integration Strategy: Map out and execute the ingestion and synthesis of commercial and operational data points across critical GTM systems, including Salesforce, Marketo, Titango, and Clary.
• Hands-on Pipeline Execution: Operates in a highly agile, "build-it-yourself" delivery model, taking full ownership of both the high-level data strategy and the hands-on coding required to construct the initial data pipelines.
• Business Metric Synthesis: Translate complex commercial strategies into technical data models, structuring datasets to analyze win/loss records, sales pipelines, cycle velocities, and operational lead times.

Qualifications

• Extensive experience in data architecture and engineering.
• Proficiency in Microsoft Fabric and Azure data analytics components.
• Strong understanding of B2B enterprise sales metrics.
• Ability to work independently and deliver rapid technical implementations.

Requirements

• Experience designing scalable enterprise data lakes and warehouses.
• Hands-on experience with ETL/ELT data pipelines.
• Ability to synthesize complex commercial strategies into technical data models.

Benefits

• Udemy courses of your choice.
• Team-buildings, events, marathons & charity activities to connect and recharge.
• Workshops, trainings, expert knowledge-sharing that keep you growing.
• Clear career path.
• Absence days for work-life balance.
• Flexible hours & work setup - work from any of listed locations and organize your day your way.