Responsibilities

· Design and implement scalable data architectures using Databricks and Snowflake.

· Develop and optimize ETL/ELT pipelines to ensure efficient data processing and integration.

· Collaborate with data engineers, data scientists, and business stakeholders to understand data requirements and deliver solutions.

· Ensure data quality, governance, and security across all data platforms.

· Provide technical leadership and mentorship to team members on best practices and emerging technologies.

· Troubleshoot and resolve data-related issues and performance bottlenecks.

· Stay current with industry trends and advancements in Databricks, Snowflake, and related technologies.

Requirements

· Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.

· Proven experience as a Data Architect or similar role with expertise in Databricks and Snowflake.





· Strong understanding of data warehousing concepts, data modeling, and ETL/ELT processes.

· Proficiency in SQL and experience with programming languages such as Python or Scala.

· Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and their data services.

· Excellent problem-solving skills and attention to detail.

· Strong communication and collaboration abilities.

· Experience with data governance and security best practices is a plus.

Advantages

· Competitive salary and performance-based bonuses.

· Comprehensive health, dental, and vision insurance.

· Flexible working hours and remote work options.

· Opportunities for professional growth and development.

· Inclusive and collaborative work environment.

📌 Databricks Snowflake Architect_Lincy (Hyderabad)
🏢 TalentOla
📍 Hyderabad