Data Architecture Expert

7 days ago


Lahore, Punjab, Pakistan Data Pilot Full time
Job Description

Data Pilot is a pioneering data product development and consulting services company, dedicated to empowering businesses with expert engineering and business acumen. As an Associate Data Architect, you will play a pivotal role in shaping scalable, efficient, and well-governed data architectures that drive advanced data engineering, analytics, and AI initiatives.

Your primary responsibilities will include designing robust data architecture frameworks, embedding data governance controls, and contributing to the development of next-generation data platforms, including Data Fabric solutions. You will also support the development of a Target Operating Model (TOM) for Corporate Data Architecture & Modeling, ensuring that data management strategies align with business objectives.

Key Responsibilities:

  • Strategic Data Architecture Development
    • Design and implement end-to-end data architectures for enterprise-scale data engineering and analytics projects, incorporating medallion and lakehouse models to support real-time and batch analytics.
    • Develop and operationalize a Target Operating Model (TOM) for Corporate Data Architecture & Modeling, ensuring alignment with business and technical goals.
    • Contribute to the development of business and technical architecture for a Data Fabric, enabling seamless data access and integration across the enterprise.
    • Establish and embed Data Architecture & Modeling control gates across the Solution Delivery Lifecycle (SDLC) to ensure robust governance and compliance.
    • Develop a capability assessment framework to evaluate and enhance data architecture and modeling maturity.
  • Data Governance & Warehouse Design
    • Develop data warehousing solutions that support complex data analytics and reporting needs, ensuring alignment with best practices in data modeling and storage optimization.
    • Implement data governance strategies to ensure data quality, integrity, and security across the enterprise.
  • Cross-functional Collaboration & Innovation
    • Work closely with data scientists and engineers to facilitate the development and deployment of machine learning models, ensuring scalable and efficient data architecture support.
    • Stay ahead of emerging trends in data architecture, AI, and cloud computing to drive continuous innovation and improvement within the team and company.


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