Enterprise Data Solutions Architect

1 day ago

Nagpur, Maharashtra, India beBeeData Full time ₹ 1,50,00,000 - ₹ 2,00,00,000
Job Title: Enterprise Data Solutions Architect

We are seeking a seasoned Enterprise Data Solutions Architect to lead the design and implementation of cutting-edge data platforms and AI solutions that drive real business value.

As a key member of our team, you will be responsible for architecting scalable, secure, and efficient data solutions that meet client requirements. This includes designing and implementing data pipelines, architecting data lakes, and deploying machine learning models and analytics solutions.

Key Responsibilities:

  1. Design and Implement Scalable Data Solutions: Develop and deploy scalable data platforms and AI solutions that drive real business impact.
  2. Lead Technical Teams: Collaborate with data scientists and analysts to develop and deploy machine learning models and analytics solutions.
  3. Optimize Cluster Performance: Ensure efficient resource utilization and cost-effectiveness by optimizing Databricks cluster performance.
  4. Implement Security Features: Implement Databricks security features, ensure data governance, and maintain compliance with industry regulations.
  5. Provide Technical Guidance: Work closely with clients to understand their business requirements, provide technical guidance, and deliver high-quality Databricks solutions.

Requirements:

  1. 5+ Years of Experience: 5+ years of experience working with Databricks, including platform architecture, data engineering, and data analytics.
  2. Programming Languages: Proficiency in languages such as Python, Scala, or Java, and experience with Databricks APIs, Spark, and Delta Lake.
  3. Data Engineering Background: Strong background in data engineering, including data warehousing, ETL, and data governance.
  4. Leadership Skills: Proven experience leading technical teams, mentoring junior engineers, and driving technical initiatives.
  5. Communication Skills: Excellent communication and interpersonal skills, with the ability to work effectively with clients and internal stakeholders.

Good to Have:

  1. Databricks Certification: Databricks Certified Professional or similar certifications.
  2. Cloud Experience: Experience working with cloud platforms such as AWS, Azure, or GCP.
  3. Machine Learning Knowledge: Knowledge of machine learning concepts and experience with popular ML libraries.

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