Databricks Solution Architect

Design and implement scalable Databricks Lakehouse architectures to optimize data processing and analytics.

• Collaborate with cross-functional teams to gather requirements and translate them into effective data solutions.
• Provide expert guidance on best practices for data management, ETL processes, and performance tuning in Databricks.
• Lead the development of data pipelines and workflows to ensure data integrity and availability.
• Stay current with industry trends and emerging technologies to recommend improvements and innovations in our data architecture.

10+ years of experience in data architecture and engineering, with a strong focus on Databricks solutions.

• Proficiency in big data technologies such as Apache Spark, Delta Lake, and cloud platforms (AWS, Azure, or Google Cloud Platform).
• In-depth knowledge of data modeling, ETL processes, and data warehousing concepts.
• Strong analytical and problem-solving skills with the ability to work in a fast-paced environment.
• Excellent communication and leadership skills, with experience in project management and mentoring teams.

We are a leading technology company specializing in data analytics and cloud solutions. Our innovative approach helps businesses harness the power of data to drive growth and efficiency. We are seeking a skilled Databricks Architect with extensive experience to join our dynamic team and contribute to building cutting-edge Lakehouse solutions.