Databricks Architect Sr
2 weeks ago
Job Description
*** is seeking an experienced Azure Databricks Architect to lead the design, implementation, and optimization of our enterprise-wide data platform. The ideal candidate will be responsible for creating a scalable, secure, and high-performance data ecosystem that enables advanced analytics, machine learning, and business intelligence capabilities. Aligns solutions following *** operating procedures and Architecture principles and works closely with internal technical teams. Performs proof of concepts to evaluate and prove out non-functional requirements and options. Uses toolsets that adhere to the frameworks of the technical stack complying with the organization's standards. Provides mentorship and technical guidance to transition work to other *** operational teams.
JOB DUTIES
- Design and architect comprehensive data solutions using Azure Databricks, Azure Data Lake, Azure Event Hub, and related Azure data services
- Develop and implement data Lakehouse architecture patterns that support both batch and real-time data processing
- Create robust data ingestion pipelines leveraging Azure Databricks, Azure Data Factory, and other ETL technologies.
- Establish best practices for data governance, security, and compliance across the data platform.
- Design and implement advanced analytics and machine learning workflows using Databricks.
- Develop performance optimization strategies for large-scale data processing.
- Create and maintain infrastructure-as-code (IaC) templates for reproducible and scalable data platform deployments.
- Provide architectural guidance and mentorship to data engineering and analytics teams.
- Ensure alignment of data platform architecture with overall enterprise architecture and business objectives
- Develops prototypes to prove out designs and delivery patterns.
- Fosters collaboration with cross-functional teams including Development, Operations, Compliance, Security, etc.
- Understands and applies principles, theories and concepts related to the profession and ***'s culture.
- Provides mentoring and guidance to other team members.
- Conveys team goals effectively through strong written and verbal communication skills
- Ability to execute end-to-end testing for various non-functional requirements
- Has the ability to resolve design and development issues in creative and effective ways
- Researches, evaluates, and incorporates new technology and tools to enhance the product development and platform operations
- Gives advice and recommendations to management based on experience
- Expands technical proficiency in key technical areas
- Requires minimum 5 years related work experience in excess of degree requirements
- Advanced proficiency with Azure Databricks and ability to provide best practices for a large organization.
- Expert-level knowledge of:
- Python
- SQL
- Spark (PySpark) and Delta Lake
- Azure Data Lake Storage
- Azure Databricks
- Strong understanding of data Lakehouse architecture principles, and cloud-native data processing and analytics solutions
- Proficiency in infrastructure-as-code tools (Terraform, Github Actions) and integration with Github Enterprise for Code and Infrastructure deployments.
- Advanced knowledge of data modeling, performance tuning, and optimization techniques
- Experience with securing Azure Databricks, especially for regulated industries.
- Design and validate best practices for creating separate workspaces, catalogs, schemas, workflows.
- Experience with design and implementation of ETL pipelines with Azure Databricks
- Experience with design of Observability and Cost Management for the platform.
- Experience with design and implementation of Batch and Real time streaming data pipelines.
- Experience with design and implementation of MLOps patterns for machine learning use cases.
- Experience with integration of Databricks with external Governance tools like Purview.
- Experience migrating data and code to use the new architecture and operationalizing the platform.
- Experience with design and implementation of DR strategy for Databricks across multiple regions.
- Bachelor's Degree: Computer Science or related field (Required)
- or a combination of education and experience that provides equivalent knowledge to a major in such fields is required
- This position can be performed remotely from anywhere in the US.
- May be required to be on-site at the Taylor facilities occasionally based on the business needs and as determined by the Manager
Shift: []
Start: []
EEO:
"Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of - Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans."
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