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Databricks Solutions Architect

Solutions EngineerSolutions EngineerFull TimeRemoteTeam 501-1,000Since 2013H1B SponsorCompany Site LinkedIn

Location

United States

Posted

130 days ago

Salary

Not specified

EnglishApacheAWSAzureCloudETLGoogle Cloud PlatformHadoopPythonPy TorchScalaScikit LearnSparkSQLTensorflowGo

Job 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

Job 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