Databricks Solutions Architect
U.S., Canada, IndiaFull-TimeMiddle
Salary not disclosed
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Job Details
- Experience
- 10+ years
- Required Skills
- AWSPythonSQLGCPHadoopPyTorchAzureSparkTensorflowScalaDatabricksscikit-learn
Requirements
- 10+ years of experience in data engineering, data architecture, or related fields
- Hands-on experience with Databricks
- Proficiency in cloud platforms (AWS, Azure, GCP)
- Strong knowledge of cloud-native technologies and services
- Expertise in Python, Scala, and SQL for large-scale data processing
- Experience in designing and implementing data pipelines, ETL processes, Dev/Ops, Security/Ops and data lakes
- Familiarity with ML workflows and libraries such as TensorFlow, PyTorch, and scikit-learn
- Strong experience with big data tools like Apache Spark, Hadoop, and Delta Lake
- Excellent communication and interpersonal skills
- Problem-solving mindset
- Strong customer-facing skills
- Ability to engage with C-level, especially CTO and CDO
- Strategic thinking with a focus on scalable and efficient architectures
- Ability to create content for Databricks market and sales support
- Ability to work independently and in team settings
Responsibilities
- Develop data architecture solutions and reference architectures for customers using Databricks.
- Work closely with clients to understand their business goals and technical needs, ensuring optimal use of the Databricks platform.
- Provide technical expertise during the pre-sales process, conducting workshops and proof-of-concept (POC) projects.
- Lead complex projects involving Databricks integration with cloud environments such as AWS, Azure, or GCP.
- Help customers optimize performance for large-scale data processing, streaming, and machine learning workflows on Databricks.
- Guide customers and internal teams on best practices in data engineering, machine learning, and AI using Databricks.
- Work cross-functionally with engineering, product, and sales teams to deliver successful implementations.
- Help the company identify market needs, define a Go To Market strategy, and execute on that strategy.
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