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    Solution Architect - Hyderabad, India - HCLTech

    HCLTech
    HCLTech Hyderabad, India

    10 hours ago

    HCLTech background
    Technology / Internet
    Description

    Job Overview:


    We are looking for an experienced Cloud Solution Architect (Data) with a strong background in Data Engineering in Cloud and Modern Data Platform technologies.

    The Solution Architect will be responsible for designing and implementing cloud data solutions, ensuring the integrity and scalability of our data platform, and collaborating with various stakeholders to deliver data-driven insights that drive business value.


    Responsibilities:


    Design and develop robust, scalable, and efficient data architecture to support the organization's data needs, including data storage, data processing, and data integration.

    Help bridge the gap between the existing skill sets of data engineers' / data scientists and Cloud environments for the production grade delivery of analytics solutions
    Grow data platform capabilities to solve new data problems and challenges leveraging cloud platforms
    Help the team optimize cloud data platform architectures and calculate, monitor and optimize spend
    Provide data security oversight and recommendations utilizing tools like Alert Logic

    • Design and implement Audit and Security.
    Guide a team of Data Architects and Software Developers to build, deliver, and support a generation of data-intensive applications serving internal business needs
    Hands-on implementation of Data Cloud applications, primarily using Hadoop, Python, Elasticsearch, and the AWS stack

    Lead the implementation and migration of data systems to modern data platforms, such as cloud-based data warehouses and data lakes, to improve performance, scalability, and cost-efficiency.

    Collaborate with data engineers, data scientists, business analysts, and other stakeholders to understand their data requirements and translate them into technical specifications.

    Evaluate and recommend cutting-edge tools, technologies, and best practices for data engineering and modern data platforms, ensuring alignment with the organization's strategic goals.

    Develop and maintain data models, data dictionaries, and metadata repositories to ensure data consistency, accuracy, and standardization across the organization.

    Design and implement data security and privacy measures to ensure compliance with relevant regulations and industry standards.
    Provide technical leadership and mentorship to the data engineering team, fostering a culture of continuous learning and improvement.
    Monitor and troubleshoot data platform performance issues, proactively identifying and implementing optimizations to ensure optimal system performance.

    Collaborate with project managers and other stakeholders to develop and maintain project plans, timelines, and resource requirements for data engineering initiatives.

    Keep up-to-date with the latest trends and advancements in the data engineering and modern data platform space, incorporating relevant insights into the organization's data strategy.


    Requirements :
    Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
    Minimum of 10 years of experience in data engineering, with a focus on modern data platforms and technologies.
    Strong knowledge of the cloud-based data platforms, their associated services and technologies in AWS framework
    Proven experience designing and implementing large-scale data solutions, including data warehouses, data lakes and real-time data processing systems.
    Hands-on experience designing distributed systems and applications on the AWS Cloud including KMS, Secret Manager, AWS CloudWatch, AWS IAM

    Strong knowledge of cloud-based data platforms, such as AWS, Azure, or Google Cloud, and their associated services and technologies such as Snowflake, Redshift, Synapse, Databricks and Delta Lake.

    Proficiency in data modeling, data integration, and ETL processes.
    Expertise in SQL, NoSQL, and big data technologies, such as Hadoop, Spark, and Kafka.
    Strong understanding of data security and privacy principles, including GDPR and CCPA.
    Strong problem-solving and analytical skills, with the ability to think strategically and creatively.

    Experience in providing solutioning in Modern Data Platform Engineering such as coming up Roadmap, Reference architecture, effort estimation and Project Implementation plan.

    Having considerable experience in providing consulting in the modern data platform space.
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