What are the responsibilities and job description for the Senior Data Architect (AWS & Azure) position at Pioneer IT Systems LLC?
Job Details
Senior Data Architect (AWS & Azure)
Location: Onsite - CST - USA
Exp : 14 Years of IT experience
Visa : OPT / L2/ / / USC
Interview : 1 round
Exp : 14 Years of IT experience
Visa : OPT / L2/ / / USC
Interview : 1 round
Should have AWS Data Architect experience minimum 5 years.
Skills: Python, AWS, Azure, Data Bricks, ETL Glue and EMR, Pyspark, Any visualization tools like ( Power BI / Tableau / Alteryx ),
Expert in SQL
Need Linked In Profile
Skills: Python, AWS, Azure, Data Bricks, ETL Glue and EMR, Pyspark, Any visualization tools like ( Power BI / Tableau / Alteryx ),
Expert in SQL
Need Linked In Profile
Job Summary:
We are seeking a highly skilled AWS & Azure Data Architect to design and implement scalable, secure, and high-performance cloud data solutions. The ideal candidate will have deep expertise in data engineering, cloud-native data services, and big data processing across both AWS and Azure.
Key Responsibilities:
- Design and implement multi-cloud data architectures on AWS & Azure.
- Build and optimize ETL/ELT pipelines using Azure Data Factory, AWS Glue, Databricks, and Spark.
- Architect real-time and batch data processing solutions with Kafka, Kinesis, and Event Hubs.
- Develop and optimize data lakes and warehouses (AWS S3, Redshift, Azure Data Lake, Synapse, Snowflake).
- Ensure data security, governance, and compliance (GDPR, HIPAA, SOC 2).
- Automate cloud infrastructure using Terraform, CloudFormation, and Bicep.
Required Skills & Experience:
- 10 years in data architecture, cloud computing, and data engineering.
- Strong expertise in AWS & Azure data services.
- Hands-on experience with big data technologies (Spark, Hadoop, Databricks, Snowflake).
- Proficiency in Python, SQL, and Scala for data processing.
- Experience with Kubernetes, Docker, and serverless computing.
Preferred Qualifications:
- AWS & Azure cloud certifications.
- Experience in multi-cloud and hybrid architectures.
- Knowledge of AI/ML model deployment.
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.
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