Database / Data warehouse Architect

Job Title: Database / Data warehouse Architect

We are looking for a highly skilled Data Engineer with extensive experience in Database, Data Warehouse, ETL, Business Intelligence (BI), Analytics, and Big Data. The ideal candidate should have a strong background in technical architecture and a deep understanding of data security, master data management, data quality, and data governance for various clients. With a minimum of 10 years of experience, including at least 8 years as a Data Engineer, the candidate should be an expert in designing Data Lakes and integrating them into existing data warehouses.

Key Qualifications:
- Undergraduate degree or higher in Computer Science, Engineering, Mathematics, or a similar field.
- Technical Architect with 10+ years of experience in Database, Data Warehouse, ETL, BI, Analytics, and Big Data.
- At least 8 years of hands-on experience as a Data Engineer.
- Expertise in Data Security, Master Data Management, Data Quality, and Data Governance.
- Proven experience in designing Data Lakes and merging them into existing data warehouses.
- Building complex data marts for individual business units/products.
- Preparation of Data Governance frameworks.
- Strategies for data acquisition, archive recovery, and database implementation.
- Strong experience in conceptual, logical, and physical (relational and dimensional) modeling.
- Familiarity with programming languages like Python, SQL, SAS, or R.
- Knowledge of SQL and NoSQL data sources.
- Proficient in Agile delivery models.

Responsibilities:
- Design and implement data solutions, including data lakes, data warehouses, and ETL processes.
- Ensure data security, master data management, data quality, and data governance for clients.
- Develop complex data marts tailored for individual business units or products.
- Create and implement Data Governance frameworks.
- Formulate strategies for data acquisition, archive recovery, and database implementation.
- Utilize conceptual, logical, and physical modeling for data warehouse, data mart, master data management, and metadata management processes.
- Work with programming languages such as Python, SQL, SAS, or R.
- Interface with SQL and NoSQL data sources.
- Follow Agile delivery models for efficient project execution.

If you have a strong technical background, extensive experience in data engineering, and a passion for designing innovative data solutions, we encourage you to apply for this position.