Data Architect I

• Design and develop scalable and efficient data architectures that meet the needs of the organizations operational, business intelligence, and analytics initiatives.
• Collaborate with business stakeholders to understand their data requirements and translate them into data models and technical specifications.
• Help estimate the size, scope, and timeframes for deliverables.
• Evaluate and recommend data management technologies, tools, and frameworks to support the organizations data architecture and business intelligence goals.
• Define and implement data integration processes to ensure data consistency and accuracy across various systems and data sources.
• Design and optimize operational data stores, data lakes, data warehouses, and analytics stores to facilitate efficient data storage, retrieval, and analysis.
• Develop and implement data governance policies and procedures to ensure data integrity and security.
• Develop and maintain documentation for data architecture, standards, policies, and procedures.
• Provide technical guidance and mentorship to other members of the data and analytics team.
• Stay up-to-date with the latest trends and advancements in data architecture, data management, and business intelligence.

Requirements

• Bachelors degree in Computer Science, Information Systems, or related field; Masters 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.

Role: Data Science & Machine Learning - Other

Industry Type: Software Product

Department: Data Science & Analytics

Employment Type: Full Time, Permanent

Role Category: Data Science & Machine Learning

Education

UG: Any Graduate

PG: Any Postgraduate