Contract Role_AWS Principal Data Architect_Arlington, VA (Onsite Role)

Amaze Systems Inc

Arlington, VA, United States

11 days ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Working hours

Regular working hours

Job source

www.careerjet.com

Tech stack

Amazon Web Services Amazon S3 Cloud Database Computer Programming Data Architecture Information Engineering Data Governance Extract Transform Load (ETL) Data Transformation Data Vault Modeling Data Warehousing IBM DB2

+25 more

Apache Hadoop Identity and Access Management Python (Programming Language) Mainframes Meta-Data Management Microsoft SQL Server Oracle (Applications) Scala (Programming Language) SQL Databases Data Streaming Teradata SQL Enterprise Data Management Data Processing Informatica Powercenter Snowflake Data Lakes Pyspark AWS Data Analytics Data Management Cloud Migration Cloud Optimization Cloudwatch Stream Processing Legacy Systems Databricks

Job description

Senior AWS Data Architect responsible for designing modern AWS/Databricks data platforms, leading large-scale legacy-to-cloud migrations, and enabling enterprise analytics, AL, governance, and data modernization initiatives., * Architect Enterprise Data Platforms - Design and implement scalable AWS and Databricks-based data architectures for analytics, Al, and business intelligence solutions.

Lead Data Modernization Programs - Drive migration initiatives from legacy platforms such as DB2, Oracle, Teradata, SQL Server, Hadoop, Mainframe, and Informatica to modern cloud platforms
Build Lakehouse & Data Warehouse Solutions - Architect enterprise data lakes, lakehouse platforms, and cloud data warehouses with high performance and scalability.
Establish Governance & Security Standards - Define data governance, metadata management, security, compliance, and data quality frameworks across the
platform
Design Advanced Data Processing Solutions - Create batch, streaming, and real-time data processing architectures using modern cloud-native technologies.
Provide Technical Leadership - Mentor engineering teams, enforce architecture governance, and collaborate with business and technology stakeholders to define target-state roadmaps and solution strategies

Requirements

AWS Data Services - S3, Glue, Redshift, EMR, DMS, Athena, Kiness, Lambda, Lake Formation, IAM, and Cloud Watch.
Databricks Expertise - Databricks Lakehouse, Delta Lake, Unity Catalog, Delta Live Tables (DLT), Databricks, Workflows, and Structured Streaming
Data Engineering & Architecture - Data Warehousing, Data Lakes, Lakehouse Architecture, Data Modeling (Kimball & Data Vault), ETL/ELT, Governance, and Metadata Management.
Programming & Development - Python, SQL, PySpark, and Scala (preferred).
Migration & Modernization - Experience with Hadoop-to-Databricks, DB2-to-Snowflake, Teradata/Oracle-to-AWS, and Mainframe-to-Cloud migrations
Leadership & Solution Architecture - Enterprise architecture, cloud strategy, stakeholder management, technical governance, and team mentoring.