- 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
