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    Data Architect - Chennai, India - Orion Innovation

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    permanent Technology / Internet
    Description

    Job Responsibilities :

    • Team Leadership : Lead and manage a diverse team of engineers (Data, Application, DevOps, and QA Engineers), providing guidance, mentoring, and support to ensure high performance and continuous improvement.
    • Engineering Delivery : Drive the successful delivery of data platform components and services, ensuring adherence to timelines, quality standards, and stakeholder expectations.
    • Technical Expertise : Provide technical leadership and expertise to develop data platform in data engineering, application engineering, DeOps and QA Engineering.
    • Stakeholder Management : Collaborate with a variety of stakeholders, such as product managers and architects to understand requirements, align priorities, and ensure smooth execution.
    • Team Development : Identify individual and team training needs, implement learning initiatives, and foster a culture of knowledge sharing and professional growth.
    • Process Improvement : Continuously improve development standards, processes, methodologies, and tools to enhance team efficiency and effectiveness.
    • Risk Management : Identify and mitigate risks associated with data platform development, ensuring compliance with security, data privacy, and regulatory standards.
    • Innovation and Adoption : Stay up to date with emerging technologies, industry trends, and best practices in engineering, and apply them to drive Skills Required :
    • Expert in leading a product engineering team to develop an enterprise scale data platform
    • Expert in Big Data technologies such as Data Lake, Data Warehouse, Lakehouse, Data Mesh Architecture, Data Fabric etc
    • Experienced in various data lifecycle stages like Extraction, Ingestion, Data Quality, Transformation, Storage, Consumption Mechanisms, Governance etc.
    • Expert in Microsoft Big Data stack, Synapse, Azure Databricks, Azure Data Lake Store, Azure EventHub, Azure Stream Analytics, Kubernetes, API management, APIs and Frontend technologies
    • Experience in data governance tools such as Immuta, Collibra, Microsoft Purview etc.
    • Experience of Master Data management (MDM), Metadata Management, Data Visualisation and Data Governance (DG).
    • Broad understanding of various emerging data and analytics related tools and technologies.
    • Experience in enterprise grade Platform development
    • Experience in working with SAFe Agile methodology
    • Understanding of CI/CD automation and self service provisioning
    • Understanding of Microservice based architecture
    • Understanding of APIs and Frondend web development technologies

    Additional skill requirements :

    • Demonstrated experience working with a large globally distributed team, across cultures and time zones
    • Demonstrated ability to quickly grasp new technologies and embed in engineering execution
    • Should be able to adapt to constantly evolving requirements and priorities
    • Creative problem solving skills

    Job Requirements :

    Experience :

    • 12+ years of demonstrable engineering experience
    • 10+ years of technology product and/or platform development experience
    • 10+ years of data domain industry experience
    • 10+ year of experience in managing a team of architects and engineers with a global presence.
    • 10+ years of experience in an SAFe Agile base delivery methodology
    • 5+ years of experience in performing analysis and design for Data Management and Data Driven projects.
    • 5+ years of experience in driving complex Data Pipeline solutions and architectures.
    • 5+ years of experience in driving Metadata architecture and Master Data Management Solutions.

    Education / Certifications :

    • A computer science graduate or equivalent degree.
    • Micorost Azure certifications for fundamentals, Data engineering and Developer areas
    • Databricks certification preferred
    )

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