TEKsystems · 5 hours ago
Databricks Practice Architect
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Responsibilities
Design & Architecture: Design and implement solutions for the Databricks platform and APIs. Work with data engineering and data science teams, customers, and other customer-facing teams.
Technical Leadership: Provide technical guidance to customers on big data projects, including architectural design, data engineering, and model deployment.
Customer Collaboration: Work with customers to understand their requirements and help them define solutions and a roadmap to meet their goals.
Solution Design: Create and review architecture and solution design artifacts.
Technical Expertise: Demonstrate expertise in Databricks Lakehouse architecture, delta lake medallion architecture, data pipelines, CI/CD pipelines, etc.
Communication: Communicate complex technical concepts to non-technical stakeholders, such as business leaders and C-level executives.
Documentation: Develop and maintain documentation for the Databricks platform, such as deployment guides, operational procedures, and architecture diagrams.
Risk management: Identify, communicate, and mitigate risks, assumptions, issues, and decisions.
Qualification
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Required
Bachelor’s or higher degree in Computer Science, Information Technology, or a related field
10 or more years industry experience building and supporting large-scale cloud systems
Ability to speak and write in English fluently
Excellent verbal and written communication skills
Demonstrate expertise in Databricks Lakehouse architecture, delta lake medallion architecture, data pipelines, CI/CD pipelines, etc.
Communicate complex technical concepts to non-technical stakeholders, such as business leaders and C-level executives.
Develop and maintain documentation for the Databricks platform, such as deployment guides, operational procedures, and architecture diagrams.
Identify, communicate, and mitigate risks, assumptions, issues, and decisions.
Preferred
Professional certification in one or more areas: Cloud Architecture, Data Engineering, Data Analyst, ML Engineer
Experience with Databricks, Spark and working knowledge of DBT for data processing and transformation
Working understanding of Data Warehousing concepts of Data Vault, Dimensional modelling, OLAP design
Hands-on experience building data pipelines using technology such as Azure Data Factory, AWS Glue, GCP Dataflow, and Apache Spark (preferably in Databricks)
Extensive experience with CI/CD platforms such as GitLab CI, GitHub Actions, AWS CodeBuild, Azure Pipelines, GCP Cloud Build, and Jenkins
Skilled in scripting languages including Python, SQL, R, Scala, Bash, and PowerShell
Familiarity with log and monitoring solutions
Experience in utilizing development containers, unit testing/code quality review - standard best practices
Proficiency in Python and SQL for data transformation and querying
Strong expertise in version control systems
Familiarity with containerization and orchestration technologies
Strong problem-solving, troubleshooting, communication, and collaboration skills
Familiarity with Generative AI Large Language Models (LLMs) and Retrieval Augmented Generation (RAG) techniques
Databricks certified candidates will be preferred
Company
TEKsystems
At TEKsystems, they understand people. Every year they deploy over 80,000 IT professionals at 6,000 client sites across North America,
H1B Sponsorship
TEKsystems has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2023 (16)
2022 (23)
2021 (45)
2020 (48)
Funding
Current Stage
Late StageRecent News
2024-11-04
2024-10-30
2024-05-24
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