Overview
On Site
Depends on Experience
Contract - Independent
Contract - W2
Contract - 12 Month(s)
No Travel Required
Skills
Data Architecture
AWS
Data Modeling
Python
PySpark
Databricks
Scala
Terraform
Tableau
Power BI
Kafka
Job Details
Job Role: Sr. Data Architect Job Location: Charlotte NC (Onsite - Locals Only) Job Duration: Long Term contract
Key Skills: Data Architecture, AWS, Data Modeling, Python, Spark/PySpark
Role Summary:
Experienced Data Architect with experience in designing and implementing robust, scalable, and efficient data architecture solutions. The ideal candidate will have strong expertise in AWS, Databricks, and experience as a Data Engineering with flair for Data Analytics. Experience in Sigma Enterprise BI platform would be a plus. Experience in building enterprise data structures to support organizational objectives, analytics, and reporting needs, ensuring adherence to standards and best practices.
Technical Skills
Key Skills: Data Architecture, AWS, Data Modeling, Python, Spark/PySpark
Role Summary:
Experienced Data Architect with experience in designing and implementing robust, scalable, and efficient data architecture solutions. The ideal candidate will have strong expertise in AWS, Databricks, and experience as a Data Engineering with flair for Data Analytics. Experience in Sigma Enterprise BI platform would be a plus. Experience in building enterprise data structures to support organizational objectives, analytics, and reporting needs, ensuring adherence to standards and best practices.
Technical Skills
- Proficiency with AWS Cloud Services (e.g., S3, Redshift, Glue, Lambda, Athena, DynamoDB).
- Hands-on experience with Databricks for data engineering and analytics workloads.
- Expertise in designing and building data pipelines and workflows using tools like Apache Spark and Databricks.
- Strong understanding of relational databases, data lakes, and data warehousing concepts.
- Experience with Qlik, Sigma or other reporting tools like Tableau, Power BI, or Looker.
- Advanced proficiency in Python, SQL, and Scala for data manipulation and processing.
- Experience with infrastructure-as-code tools like Terraform or CloudFormation.
- Knowledge of big data technologies such as Apache Hadoop, Kafka, or Flink is a plus.
- 12+ Yrs. of relevant experience.
- Bachelors or Master s degree in Computer Science, Data Science, or a related field.
- AWS certifications (e.g., AWS Certified Data Analytics Specialty, AWS Certified Solutions Architect).
- Prior experience in implementing real-time data pipelines and streaming solutions.
- Familiarity with machine learning workflows and tools.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.