Data Architect
ARKA INNOVATE LLC
King of Prussia, United States of America
5 days ago
Role details
Contract type
Permanent contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
EnglishJob location
King of Prussia, United States of America
Tech stack
Amazon Web Services (AWS)
Amazon Web Services (AWS)
Azure
Big Data
Cloud Database
Continuous Integration
Data Architecture
Data Integration
Data Systems
Cloud Services
Azure
SQL Databases
Tableau
Azure
Snowflake
Data Pipelines
Databricks
Job description
Arka Innovate is seeking a talented Data Architect with deep expertise in Databricks,data modeling,data integration, anddatabase design. The ideal candidate will have hands-on experience with modern data tools such as Tableau,Snowflake, andAWS technologies, and will play a critical role in designing scalable and efficient data architectures for our clients across various industries., * Design, Develop and implement scalable data pipelines using Databricks,Azure Data Factory, andPySpark.
- Design, optimize, and maintain data solutions in Azure Data Lakeanddata warehouses.
- Collaborate with cross-functional teams to gather requirements and deliver tailored data solutions.
- Code and maintain efficient, reusable, and reliablePythonandSQLscripts.
- Manage and monitor workflows usingAzure DevOpsto ensure continuous integration and delivery.
- Create and maintain detailed documentation for data workflows, architecture, and processes.
- UtilizeTableauto create intuitive dashboards and reports for business insights.
- LeverageSnowflake,AWS, and other cloud services to integrate and analyze diverse datasets.
- Ensure data quality, security, and compliance with best practices and organizational standards.
- Stay updated with emerging technologies and trends in cloud data engineering.
Requirements
- Databricksexpertise
- Proficient in coding withPython,SQL, andPySpark
- Strong experience withAzure Services, including:
- Azure Data Factory
- Azure Data Lake (ADLS Gen2)
- Azure DevOps
- Knowledge ofdata warehouse designanddata modeling principles
- Ability to integrate, transform, and process large datasets
- Hands-on experience withTableaufor data visualization and reporting
- Proficiency inSnowflakeandAWS services(eg,S3,Redshift,Glue,Athena)
- Strong understanding ofETL/ELTworkflows and data integration patterns
- Familiarity withBig Data technologiesand frameworks likeHadoopandSpark