Data & Analytics Cloud Manager/Architect

Chennai, Tamil Nadu, India

Ford Motor Company

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We are on the hunt for a highly skilled Google Cloud Full Stack Data and Infrastructure Architect to play a pivotal leadership role within our Analytics Product Group. This role requires a strategic thinker with a robust background in Google Cloud technologies and architecture, tasked with leading a diverse team of Data Scientists, Data Engineers, and BI Specialists. The successful candidate will oversee the design, development, and deployment of scalable data and infrastructure solutions that meet business needs and drive innovation, with a strong emphasis on delivering actionable insights and supporting data-driven decision-making.

  • Lead and manage a team of Data Scientists, Data Engineers, and BI Specialists, fostering a collaborative and productive environment.
  • Design and architect data solutions that leverage a variety of BI tools including Google Cloud's Looker, Data Studio, and Tableau, as well as other popular platforms like Power BI, to create interactive dashboards, reports, and visualizations.
  • Work closely with BI Specialists to define and implement key performance indicators (KPIs) and metrics to track business progress.
  • Design and architect full-stack data solutions using Google Cloud technologies, ensuring they are scalable, efficient, and integrated seamlessly.
  • Oversee the development and maintenance of data pipelines, data architectures, and data modeling processes.
  • Collaborate with stakeholders across the organization to understand their data needs and translate them into actionable BI solutions.
  • Develop and implement data governance policies and procedures to ensure data quality, consistency, and security.
  • Stay up-to-date on the latest trends and best practices in the field of Business Intelligence and data visualization.
  • Collaborate with other department leads to align the analytics strategies with overall business objectives.
  • Ensure the implementation of best practices in data governance, data security, and data quality.
  • Drive the adoption of advanced analytics and machine learning techniques within the team to solve complex business problems.
  • Provide technical leadership in the evaluation, conceptualization, design, and deployment of major data initiatives.
  • Mentor team members, aiding in their technical and professional development.
  • Bachelor’s or Master’s degree in Computer Science, Data Science, Information Technology, or a related field.
  • Proven experience as a Data Architect, Data Engineer, or BI Specialist with a strong understanding of Google Cloud Platform (GCP).
  • Expertise in designing and implementing robust BI solutions using Google Cloud technologies such as Looker, Data Studio, and Tableau, as well as other popular platforms like Power BI.
  • Experience with data visualization techniques and best practices.
  • Strong leadership skills with experience managing cross-functional teams in a dynamic environment.
  • Excellent problem-solving abilities and a strong analytical mindset.
  • Deep understanding of data management fundamentals, data storage principles, and data security best practices.
  • Proficient in SQL and experience with programming languages such as Python or Java, with a focus on data analysis and visualization.
  • Experience with data modeling and data warehouse design.
  • Experience with data governance and data quality management.
  • Certifications in Google Cloud Architecture, Data Engineering, or Business Intelligence are highly advantageous.
  • Experience with technical migration projects, especially migrating legacy systems to cloud-based solutions.
  • Strong background in understanding and leveraging data to drive business insights and support decision-making.
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Tags: Architecture Business Intelligence Computer Science Data analysis Data governance Data management Data pipelines Data quality Data Studio Data visualization Data warehouse Engineering GCP Google Cloud Java KPIs Looker Machine Learning Pipelines Power BI Python Security SQL Tableau

Region: Asia/Pacific
Country: India

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