Data Architect

Currently we have an open position with our client - Its a IT Consulting Firm

Databricks Architect.

We're seeking a skilled Databricks Architect with a strong background in data engineering and AI / ML. Your expertise will help clients design and deploy scalable data pipelines, feature engineering workflows, and machine learning pipelines on the Databricks Lakehouse Platform. You'll play a pivotal role in driving digital transformation through unified data and AI strategies.

Key Responsibilities :

1. Databricks Solution Architecture : Design and implement scalable, secure, and efficient Databricks solutions that meet client requirements.

2. Data Engineering : Develop data pipelines, architect data lakes, and implement data warehousing solutions using Databricks.

3. Data Analytics : Collaborate with data scientists and analysts to develop and deploy machine learning models and analytics solutions on Databricks.

4. Performance Optimization : Optimize Databricks cluster performance, ensuring efficient resource utilization and cost-effectiveness.

5. Security and Governance : Implement Databricks security features, ensure data governance, and maintain compliance with industry regulations.

6. Client Engagement : Work closely with clients to understand their business requirements, provide technical guidance, and deliver high-quality Databricks solutions.

7. Thought Leadership : Stay up-to-date with the latest Databricks features, best practices, and industry trends, and share knowledge with the team.

Requirements :

1. Databricks Experience : 5+ years of experience working with Databricks, including platform architecture, data engineering, Data Ingestion and data analytics

2. Technical Skills : Proficiency in languages such as Python, Scala, or Java, and experience with Databricks APIs, Spark, and Delta Lake.

3. Data Engineering : Strong background in data engineering, including data warehousing, ETL, and data governance.

4. Leadership : Proven experience leading technical teams, mentoring junior engineers, and driving technical initiatives.

5. Communication : Excellent communication and interpersonal skills, with the ability to work effectively with clients and internal stakeholders.

Good to Have :

1. Certifications : Databricks Certified Professional or similar certifications.

2. Cloud Experience : Experience working with cloud platforms such as AWS, Azure, or GCP.

3. Machine Learning : Knowledge of machine learning concepts and experience with popular ML libraries.