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Databricks Data Architect

Prophecy Technologies

 

Alpharetta, GA, USA

Posted On: 14 days ago
Experience: 5+ years
Availability: Hybrid
Openings: 1
Category: Databricks Data Architect
Tenure: No Preference/Any
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Description

Role Overview:

This role is for a Data Architect with a strong focus on digital solutions, data architecture, and emerging digital frameworks. The successful candidate will be responsible for understanding how digital solutions transform business models, with a significant emphasis on data modeling, end-to-end data lifecycle management, and cloud platforms, particularly Microsoft Azure and Databricks.

Key Responsibilities:

  • Ability to understand and track new developments of how digital solutions are changing or have the potential to transform current models of business.
  • Strong familiarity with emerging digital frameworks and patterns, Information Security and Data access controls.
  • Knowledge of IoT platforms and data collection solutions to support IoT projects (i.e. business automation, manufacturing, asset management, health, asset tracking, smart utilities, etc.).
  • Experience of working with platform/package vendors and their solution teams as part of architecting the overall solution.
  • Technical acumen and proficiency in Agile and DevOps methodologies, tools, and governance/standards.
  • Proven track record in designing, developing and implementing data modelling, at a conceptual, logical and physical level.
  • Experience with accountability for E2E Data Architecture and Lifecycle (including non-functional requirements and operations) management.
  • Understands industry recognised data modelling patterns and standards.

Required Skills:

  • Azure
  • Delta Lake & Unity Catalog
  • Databricks Workflows
  • Databricks SQL
  • Apache Spark
  • PySpark
  • SQL
  • Python
  • Data Modeling
  • ETL/ELT Design
  • Batch and Streaming Architectures
  • Data Warehousing Concepts

Qualifications:

  • Deep Microsoft Azure product knowledge and understanding of product features.
  • Proven track record in designing, developing and implementing data modelling.
  • Experience with accountability for E2E Data Architecture and Lifecycle management.

Preferred Skills:

  • Exposure to other cloud solutions (Google, AWS)

Education

Any Graduate

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