Senior Business Intelligence Data Scientist

3 days ago

Mumbai Kolkata Delhi, India beBeeData Full time US$ 1,50,000 - US$ 2,00,000

Job Title: Enterprise Data Architect

About the Role

We are seeking an experienced and skilled Enterprise Data Architect to lead our data architecture initiatives. The ideal candidate will have a strong background in designing and implementing scalable and efficient data architectures, as well as collaborating with stakeholders to translate business requirements into data models and technical specifications.

  • Data Architecture: Design and develop enterprise-level data architectures that meet the needs of operational, business intelligence, and analytics initiatives.
  • Collaboration: Work closely with business stakeholders to understand their data requirements and translate them into data models and technical specifications.
  • Estimation: Help estimate the size, scope, and timeframes for deliverables.
  • Tech Evaluation: Evaluate and recommend data management technologies, tools, and frameworks to support the organization's data architecture and business intelligence goals.
  • Data Integration: Define and implement data integration processes to ensure data consistency and accuracy across various systems and data sources.
  • Data Storage: Design and optimize operational data stores, data lakes, data warehouses, and analytics stores to facilitate efficient data storage, retrieval, and analysis.
  • Data Governance: Develop and implement data governance policies and procedures to ensure data integrity and security.
  • Documentation: Develop and maintain documentation for data architecture, standards, policies, and procedures.
  • Mentorship: Provide technical guidance and mentorship to other members of the data and analytics team.
Requirements

To be successful in this role, you will need:

  • Bachelor's degree in Computer Science, Information Systems, or related field; Master's degree preferred.
  • 10+ years of demonstrated experience as a Data Architect or similar role.
  • Strong knowledge of data architecture principles, data modeling techniques, and best practices.
  • Proficient in SQL and experience with database platforms such as Snowflake, SQL Server, or MySQL.
  • Hands-on experience with enterprise-level BI and data integration tools such as Tableau, Power BI, Informatica, or Talend.
  • Familiarity with data warehousing concepts and technologies (e.g., Kimball, Inmon).
  • Experience with cloud-based data platforms (e.g., AWS, Azure, GCP) and their associated services (e.g., Redshift, BigQuery).
  • Strong analytical and problem-solving skills, with the ability to analyze complex data requirements and design effective solutions.
  • Excellent communication and collaboration skills, with the ability to effectively translate technical concepts to non-technical stakeholders.
  • Proven ability to work in a fast-paced environment, meet tight deadlines, and prioritize tasks effectively.

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