This role involves collaborating with cross-functional teams to ensure data architecture aligns with business goals, enhances data quality, and supports advanced analytics and reporting needs.

The architect will play a key role in driving data strategy, ensuring scalability, and maintaining best practices in data management.

Key Result Areas (KRAs) :

- Data Architecture Design : Develop and maintain scalable, efficient, and secure data architectures using Snowflake. Ensure alignment with business requirements and industry best practices.

- Data Quality and Governance : Implement and enforce data quality standards and governance policies. Monitor data integrity and accuracy across all data pipelines and storage solutions.

- Performance Optimization : Optimize data models, queries, and ETL/ELT processes for maximum performance and cost efficiency. Conduct regular performance tuning and troubleshooting.

- Collaboration and Communication : Work closely with data engineers, analysts, and business stakeholders to understand data needs and deliver solutions. Provide technical guidance and mentorship to team members.

- Innovation and Continuous Improvement : Stay updated with the latest trends and advancements in data technologies. Propose and implement innovative solutions to improve data processing, storage, and analysis capabilities.

Essential Skills :

- Snowflake Expertise : Deep understanding of Snowflake architecture, features, and best practices.

- SQL Mastery : Advanced SQL skills for querying, optimizing, and managing data.

- Data Warehousing : Strong background in data warehousing concepts and methodologies.

- ETL/ELT Processes : Proficiency in designing and implementing ETL/ELT processes.

- Cloud Platforms : Experience with cloud platforms (e.g., AWS, Azure, GCP) and their data services.

Desirable Skills :

- Python or R : Knowledge of Python or R for data manipulation and analysis.

- Data Visualization : Experience with data visualization tools (e.g., Tableau, Power BI).

- Big Data Technologies : Familiarity with big data technologies (e.g., Hadoop, Spark).

- Data Governance : Understanding of data governance and compliance standards.

- Agile Methodologies : Experience working in Agile development environments.

Qualifications :

- Minimum 9 years of experience and proven track record of designing and implementing data solutions using Snowflake.

- Bachelors or masters degree in computer science, Information Technology, Data Science, or a related field.

Qualities :

- Analytical Mindset : Strong analytical and problem-solving skills.

- Collaboration : Excellent communication and teamwork abilities.

- Detail-Oriented : High attention to detail and commitment to data quality.

- Adaptability : Ability to adapt to changing business needs and technologies.

- Leadership : Demonstrated leadership skills and the ability to mentor junior team members.

Location : Pune, Maharashtra, India

Years Of Exp : 9 to 11 years