Sr. Azure Data Architect/Engineer

Airitos; United States; Remote; USD 80,000 - 100,000; Full time

Job summary

An established industry player is seeking a Senior Azure Data Architect/Engineer to lead data movement and analytics solutions. This role requires extensive experience in Azure environments, strong leadership skills, and the ability to navigate both technical and functional discussions. You will be at the forefront of Agile solution delivery, ensuring effective data engineering and architecture practices are implemented. If you thrive in dynamic environments and have a knack for problem-solving with innovative solutions, this position offers a unique opportunity to make a significant impact in a forward-thinking organization.

Qualifications

• Extensive experience in Azure environments and data architecture.
• Strong leadership in Agile solution delivery and data engineering.

Responsibilities

• Drive meetings with stakeholders and lead data movement implementations.
• Contribute to all phases of Agile solution delivery life cycle.

Skills

Communication Skills

Leadership Experience

Problem Solving

Agile Methodologies

Data Engineering

Data Architecture

Master Data Management

Automation Engineering

Tools

Azure Databricks

Azure SQL

Python

PySpark

YAML

Azure DevOps

Job description

Senior Azure Data Architect/Engineer

Someone who possesses:

1. Excellent written and verbal communication skills, and presentation skills
2. Aptitude at both seeing the "big-picture" and acting hands-on at a deep technical level
3. An ability to easily interact and drive meetings with technical and functional stakeholders
4. Leadership experience with multiple Full Lifecycle Implementations of Data Movement and Analytics Solutions
5. Extensive experience within Azure Environments and able to act independently to stand up services as part of a solution
6. Abilities to identify gaps in an overall program/project across all solution delivery capabilities
7. Seasoned skills to contribute and if necessary lead all phases of an Agile solution delivery life cycle, from business analysis, design, development, test and DevOps.
8. Extensive familiarity with both batch (slow) and streaming (fast) data movement approaches in mission critical settings
9. Problem solving where out-of-the-box thinking is required

Experience with:

1. Data Engineering and Architecture in an Agile work environment
2. Extensive knowledge of Azure data platforms such as Databricks, Azure SQL, etc.
3. Master Data Management principles and processes
4. Automation Engineering
5. Python, PySpark, YAML
6. Data Mapping and transformations
7. Data Streaming technologies and methodologies
8. Azure Dev Ops