Wavicle Data Solutions LLC

Wavicle Data Solutions LLC

Databricks Solutions Architect

Chicago, IL · Exec

Sponsorship not specifiedDetected 263 days ago
PythonScalaSQLDatabricksAWSGCPAzureCloud PlatformsMachine LearningTensorFlowPyTorchSparkData EngineeringData ScienceLeadershipCommunicationCollaborationProblem SolvingMentoring

About the role

  • They will provide thought and technical leadership, ensure best practices, and align customer strategies with Databricks' offerings.
  • Customer Engagement: Work closely with clients to understand their business goals and technical needs, ensuring optimal use of the Databricks platform.
  • Training and Mentorship: Guide customers and internal teams on best practices in data engineering, machine learning, and AI using Databricks.

Responsibilities

  • Work cross-functionally with engineering, product, and sales teams to deliver successful implementations.
  • Wavicle Data Solutions is hiring a Databricks Solution Architect, who will be responsible for leading design and implementation of scalable and optimized solutions that leverage the latest Databricks for features.
  • Pre-Sales Support: Provide technical expertise during the pre-sales process, conducting workshops and proof-of-concept (POC) projects.
  • Collaboration: Work cross-functionally with engineering, product, and sales teams to deliver successful implementations.
  • This individual will work closely with customers, understanding their needs and business drivers, and helping them adopt and optimize Databricks for their analytics, data science, and AI/ML workloads.
  • They will also be part of a team helping the company identify and build point of views for the market and determine our Databricks Goto-Market strategy.

Requirements

  • 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.
  • 10+ years of experience in data engineering, data architecture, or related fields.
  • Proficiency in cloud platforms (AWS, Azure, GCP), with strong knowledge of cloud-native technologies and services.
  • Familiarity with ML workflows and libraries such as TensorFlow, PyTorch, and scikit-learn.

Nice to have

  • 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 work independently and in team settings

Skills

  • Expertise in Python, Scala, and SQL for large-scale data processing.
  • Strong experience with big data tools like Apache Spark, Hadoop, and Delta Lake.
  • 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.
  • Wavicle Data Solutions is a founder-led, high-growth consulting firm helping organizations unlock the full potential of cloud, data, and AI.
  • At the heart of our approach is WIT -the Wavicle Intelligence Framework.

Compensation

  • Competitive compensation and bonuses

Benefits

  • Unlimited paid time off
  • Health, retirement, and life insurance plans

Company info

  • 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.
  • Help the company identify market needs, define a Go To Market strategy, and execute on that strategy
  • Performance Optimization: Help customers optimize performance for large-scale data processing, streaming, and machine learning workflows on Databricks.
  • Market Strategy: Help the company identify market needs, define a Go To Market strategy, and execute on that strategy
  • Develop data architecture solutions and reference architectures for customers using Databricks.
  • Solution Design: Develop data architecture solutions and reference architectures for customers using Databricks.
  • If you're passionate about solving complex problems, exploring what's next in AI, and being part of a team that values delivery excellence and career development-you'll feel right at home here.

Equal opportunity

  • EQUAL OPPORTUNITY EMPLOYER Wavicle is an
  • Equal Opportunity Employer and committed to creating an inclusive environment for all employees.
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