QBrainX - Data Lead Architect - DataLake/Data Factory/Snowflakes (10-15 yrs)

Job Title : Data Lead / Architect

Exp Level : 10 to 15 years

Job Location : Coimbatore, Onsite Work from Office only

Job Type : Full-Time

Job Summary : The Data Architect will be responsible for designing, creating, deploying, and managing the organization's data architecture. This includes defining how the data will be stored, consumed, integrated, and managed by different data entities and IT systems, as well as any applications using or processing that data.

Key Responsibilities :

- Lead and Manage the entire Offshore Data Team.

- Design and implement effective database solutions and models to store and retrieve company data.

- Examine and identify database structural necessities by evaluating client operations, applications, and programming.

- Assess database implementation procedures to ensure they comply with internal and external regulations.

- Install and organize information systems to guarantee company functionality.

- Prepare accurate database design and architecture reports for management and executive teams.

- Oversee the migration of data from legacy systems to new solutions.

- Monitor the system performance by performing regular tests, troubleshooting, and integrating new features.

- Recommend solutions to improve new and existing database systems.

- Educate staff members through training and individual support.

Mandatory Skills :

- Azure SQL, Azure Data Factory, Azure Data Lake, Azure Databricks, Azure Synapse, T-SQL, DBT, Snowflake, BigQuery, Databricks, ETL/ELT, PySpark, Data Modeling, Data Warehousing, Data Analytics, Data Visualization, Power BI, Tableau, Agile Scrum, IT Service Management, Client Services, and Techno-Functional Management.

Database Management :

- Proficiency in SQL and NoSQL databases, understanding database structure principles, and experience with database design and implementation.

- Data Modeling : Ability to create and manage data models, including conceptual, logical, and physical models.

- Data Integration : Skills in integrating data from various sources, ensuring data consistency and quality.

- Data Warehousing : Knowledge of data warehousing concepts and experience with data warehousing solutions.

- Data Governance : Understanding of data governance principles, including data quality management, data stewardship, and compliance with regulations.

- Cloud Services : Experience with cloud platforms such as AWS, Azure, or Google Cloud, and familiarity with cloud-based data solutions.

- Data Visualization : Proficiency with data visualization tools like Tableau, Power BI, or similar, to present data insights effectively.

- Programming Languages : Knowledge of programming languages such as Python, R, or Java, which are often used in data processing and analysis.

- Analytical Skills : Strong analytical and problem-solving skills to interpret complex data and provide actionable insights.

- Communication Skills : Excellent communication skills to convey technical information to non-technical stakeholders and collaborate with various teams.

- Project Management : Ability to manage projects, prioritize tasks, and meet deadlines.

- Leadership : Strong leadership skills to guide and mentor team members and drive data initiatives.