Databricks Solutions Architect
@ Wavicle Data SolutionsDatabricks Solutions Architect
This job is still taking applications, but it's been up a while.
About the job
Wavicle Data Solutions is a high-growth consulting firm specializing in cloud, data, and AI. We focus on transformation, modern data platforms, and enabling AI-driven decisions, partnering with AWS, Databricks, Google Cloud, and Azure to deliver innovative tech solutions.
Requirements
- 10+ years data engineering experience
- Hands-on Databricks experience
- Proficiency in Python, Scala, SQL
- Cloud platform expertise (AWS, Azure, GCP)
- Experience with big data tools
Qualifications
- Databricks certifications preferred
- Strong communication skills
- Experience with data governance
- Ability to work independently
- Customer-facing skills
Full job description
WHAT YOU WILL GET TO DO
- Solution Design: Develop data architecture solutions and reference architectures for customers using Databricks.
- Customer Engagement: Work closely with clients to understand their business goals and technical needs, ensuring optimal use of the Databricks platform.
- Pre-Sales Support: Provide technical expertise during the pre-sales process, conducting workshops and proof-of-concept (POC) projects.
- Technical Leadership: Lead complex projects involving Databricks integration with cloud environments such as AWS, Azure, or GCP.
- Performance Optimization: Help customers optimize performance for large-scale data processing, streaming, and machine learning workflows on Databricks.
- Training and Mentorship: Guide customers and internal teams on best practices in data engineering, machine learning, and AI using Databricks.
- Collaboration: Work cross-functionally with engineering, product, and sales teams to deliver successful implementations.
- Market Strategy: Help the company identify market needs, define a Go To Market strategy, and execute on that strategy
WHAT YOU BRING TO THE TEAM
- Required Qualifications:
- Experience: 10+ years of experience in data engineering, data architecture, or related fields. Hands-on experience with Databricks is a must.
- Cloud Experience: Proficiency in cloud platforms (AWS, Azure, GCP), with strong knowledge of cloud-native technologies and services.
- Programming Skills: Expertise in Python, Scala, and SQL for large-scale data processing.
- Data Engineering: Experience in designing and implementing data pipelines, ETL processes, Dev/Ops, Security/Ops and data lakes.
- Machine Learning: Familiarity with ML workflows and libraries such as TensorFlow, PyTorch, and scikit-learn.
- Big Data Tools: Strong experience with big data tools like Apache Spark, Hadoop, and Delta Lake.
- Communication: Excellent communication and interpersonal skills to effectively engage with both technical and non-technical stakeholders.
- Preferred Qualifications:
- Certifications: 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.
- Key Competencies:
- 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
WAVICLE 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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