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  • Data Architect - Melbourne - Cognizant

    Cognizant
    Cognizant Melbourne

    3 weeks ago

    Cognizant background
    Description

    About the Role

    At Cognizant, we're seeking an experienced Data Consulting Architect to join our growing Data & AI practice.

    This role requires a pivotal individual who will design and implement innovative data solutions across multiple cloud platforms while contributing significantly to our presales efforts.

    The selected candidate will work at the forefront of AI innovation, particularly in the rapidly evolving field of generative AI, helping clients navigate and implement these transformative technologies.

    Key Responsibilities:

    • Lead technical design and architecture of complex data solutions ensuring alignment with client business objectives and technical requirements.
    • Drive presales activities including solution design, technical presentations, and proof-of-concept development.
    • Architect end-to-end data solutions leveraging cloud platforms (Azure, AWS, GCP) including data lakes, data warehouses, and real-time analytics solutions.
    • Design and implement data governance frameworks, security protocols, and compliance measures across enterprise data platforms.
    • Develop reference architectures and solution frameworks that can be leveraged across multiple client engagements.
    • Provide technical leadership in cloud infrastructure design focusing on scalability, performance, and cost optimization.
    • Create and present technical solutions to C-level executives and technical stakeholders.
    • Lead technical discovery sessions with clients to understand requirements and propose appropriate solutions.
    • Guide implementation teams on best practices, design patterns, and technical approaches.
    • Evaluate emerging AI technologies, particularly in the generative AI space, and provide recommendations for their adoption.
    • Design and architect solutions that incorporate generative AI capabilities into enterprise data platforms.
    • Collaborate with cross-functional teams to ensure solution feasibility and alignment with client expectations.
    • Mentor junior architects and technical team members, fostering knowledge sharing and skill development.

    About You

    To succeed in this role, you'll need to possess excellent communication skills, strong problem-solving abilities, and a high degree of integrity. You should be confident presenting to both business and technology stakeholders, leading cross-functional geographically dispersed teams, and have strong negotiating and collaboration for outcomes skills.

    What We Offer

    This role provides exceptional opportunities for growth in the AI space, particularly in generative AI. You'll have access to hands-on experience with cutting-edge AI technologies and frameworks, training and certification programs in emerging AI technologies, collaboration with AI research teams and technology partners, and opportunities to shape and lead AI-driven transformation initiatives.

    Base Capability Requirements

    • 10+ years of experience in data architecture and solution design with a strong focus on cloud platforms.
    • Deep expertise in Azure and AWS data services including Azure Synapse Analytics, Azure Data Factory, AWS Redshift, AWS Glue, and related services.
    • Strong understanding of cloud infrastructure design principles and implementation experience.
    • Proven experience in designing and implementing large-scale data lakes, data warehouses, and analytics platforms.
    • Expert knowledge of data modeling, data governance, and data security principles.
    • Experience with modern data architecture patterns (Data Mesh, Data Fabric, Lambda/Kappa).
    • Strong background in data integration, ETL/ELT processes, and real-time data processing.
    • Practical experience with container technologies (Docker, Kubernetes) and microservices architecture.
    • Proficiency in at least one programming language (Python, Java, or Scala preferred).
    • Experience with various database technologies (SQL, NoSQL, Graph databases).

    Required Certifications

    • Azure Data Engineer Associate and/or AWS Data Analytics Specialty.

    Nice to Have

    • Experience with AI/ML platforms, generative AI technologies, and enterprise AI integration patterns.

    Our Benefits

    Joining Cognizant will give you the opportunity to learn and collaborate with some of the most talented people in the industry, while having your finger on the pulse of emerging industry trends and working on the cutting edge of technology in your field of expertise.

    We recognize that our people perform at their best when they feel valued as significant contributors, and that's why at Cognizant, taking care of our employees is a priority.

    You can pursue innovative career tracks and opportunities here, enhance your professional development through education and dedicated training, and receive compensation, benefits, and wellness packages to help you stay healthy and plan for the future.


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