Remote Databricks Solution Architect
Wavicle Data Solutions
πRemote - United States
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Job highlights
Summary
Join Wavicle Data Solutions as a Databricks Solution Architect and lead the design and implementation of scalable solutions that leverage the latest Databricks features. Work closely with customers to understand their needs and business drivers, and help them adopt and optimize Databricks for analytics, data science, and AI/ML workloads.
Requirements
- 5+ years of experience in data engineering, data architecture, or related fields
- Hands-on experience with Databricks is a must
- Proficiency in cloud platforms (AWS, Azure, GCP), with 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 to effectively engage with both technical and non-technical stakeholders
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
Preferred Qualifications
- Databricks certifications or cloud certifications (AWS Certified Solutions Architect, Microsoft Azure Solutions Architect Expert, etc.)
- Experience with Data Governance: Knowledge of data governance, security practices, and compliance in the cloud environment
Benefits
- Health Care Plan (Medical, Dental & Vision)
- Retirement Plan (401k, IRA)
- Life Insurance (Basic, Voluntary & AD&D
- Unlimited Paid Time Off (Vacation, Sick & Public Holidays)
- Short Term & Long Term Disability
- Employee Assistance Program
- Training & Development
- Work From Home
- Bonus Program
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