Data Architect with Tableau Expertise

Position Title : Data Architect with Tableau Expertise
Location : Jersey City, NJ (Hybrid)
Experience : 8+ Years Preferred
Employee Type : Full Time with Benefits

Job Description:
We are looking for a highly skilled and experienced Data Architect to design and manage our enterprise data architecture. This role will be instrumental in building scalable data solutions and ensuring data is accessible, secure, and optimized for analytics. Expertise in Tableau is essential, as the role involves close collaboration with business intelligence teams to deliver impactful data visualizations and dashboards.

Key Responsibilities

• Design and implement data models: Develop conceptual, logical, and physical data models that meet business requirements.
• Develop data warehousing strategies: Design and implement data warehouses and data lakes to support business intelligence and analytics.
• Establish data governance policies: Define and enforce data quality standards, access controls, and security protocols.
• Collaborate with stakeholders: Work with data scientists, engineers, and business analysts to understand data needs and translate them into technical solutions.
• Evaluate and select data management tools: Research and recommend appropriate data management technologies and tools.
• Oversee data migration and integration: Manage the process of migrating data from legacy systems to new platforms.
• Performance tuning and optimization: Monitor and optimize data infrastructure performance to ensure efficient data access.
• Stay up-to-date with industry trends: Keep abreast of the latest developments in data management technologies and best practices.

Required Skills & Qualifications

• Data modeling: Expertise in various data modeling techniques, including relational, dimensional, and NoSQL.
• Data warehousing: Strong understanding of data warehousing concepts and experience with data warehouse design and implementation.
• ETL processes: Proficiency in designing and implementing Extract, Transform, Load (ETL) processes.
• Database management systems (DBMS): Extensive knowledge of various DBMS platforms, such as SQL Server, Oracle, and MySQL.
• Big data technologies: Familiarity with big data technologies like Hadoop, Spark, and NoSQL databases.
• Business Intelligence: Experience with various BI tools and technologies including Tableau, PowerBI, Microstrategy, etc.,
• Data governance: Understanding of data governance principles and best practices.
• Cloud computing: Experience with cloud-based data platforms like AWS, Azure, and Google Cloud Platform.
• Communication and collaboration: Excellent communication and interpersonal skills to effectively collaborate with stakeholders."
  
  

  Disclaimer
  Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.

  This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodations do not pose an undue hardship.

  Capgemini is committed to providing reasonable accommodations during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.

  Click the following link for more information on your rights as an Applicant ;/p>