Databricks Solutions Architect

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October 31

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Wavicle Data Solutions

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SaaS • Enterprise • Artificial Intelligence

Wavicle Data Solutions is a consultancy that specializes in data management, advanced analytics, business intelligence, and AI-driven solutions. They offer a range of services including cloud infrastructure modernization, data strategy and assessment, platform management, and data privacy compliance. Wavicle partners with leading cloud and data technology providers like AWS, Azure, Databricks, and Snowflake to deliver customized, scalable solutions that enhance operational efficiency and business intelligence. Serving industries such as finance, healthcare, insurance, and retail, Wavicle aims to empower organizations with actionable insights and optimized workflows through cutting-edge technology and expertise.

501 - 1000 employees

Founded 2013

☁️ SaaS

🏢 Enterprise

🤖 Artificial Intelligence

📋 Description

• 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

🎯 Requirements

• 10+ 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. • Databricks certifications or cloud certifications (AWS Certified Solutions Architect, Microsoft Azure Solutions Architect Expert, etc.). • Knowledge of data governance, security practices, and compliance in the cloud environment. • 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

🏖️ Benefits

• Competitive compensation and bonuses • Unlimited paid time off • Health, retirement, and life insurance plans • Long-term incentive programs • Meaningful work that blends innovation and purpose