
Chief Data Strategist
2 days ago
We are seeking an experienced Data Architect to join our team. As a Data Architect, you will be responsible for designing and implementing scalable, secure, and efficient data solutions that meet client requirements.
Key Responsibilities:
- Design and implement scalable data solutions using Databricks.
- Develop data pipelines and architect data lakes using Databricks.
- Implement data warehousing solutions using Databricks.
- Collaborate with data scientists and analysts to develop and deploy machine learning models and analytics solutions on Databricks.
- Optimize Databricks cluster performance and ensure efficient resource utilization.
- Implement Databricks security features and ensure data governance.
Required Skills and Qualifications
- Databricks Experience: 5+ years of experience working with Databricks, including platform architecture, data engineering, and data analytics.
- Technical Skills: Proficiency in languages such as Python, Scala, or Java, and experience with Databricks APIs, Spark, and Delta Lake.
- Data Engineering: Strong background in data engineering, including data warehousing, ETL, and data governance.
- Leadership: Proven experience leading technical teams, mentoring junior engineers, and driving technical initiatives.
- Communication: Excellent communication and interpersonal skills, with the ability to work effectively with clients and internal stakeholders.
As a Data Architect at our company, you will have the opportunity to work on exciting projects, collaborate with experienced professionals, and grow your career in the field of data architecture.
OthersGood to Have:
- Certifications: Databricks Certified Professional or similar certifications.
- Cloud Experience: Experience working with cloud platforms such as AWS, Azure, or GCP.
- Machine Learning: Knowledge of machine learning concepts and experience with popular ML libraries.
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