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Job Details

Skills

Data Architect
SQL query writing
Python
AWS
Angular or TypeScript
MDM
Lambda

Summary

Data Engineering Architect / W2 ONLY / Remote OK, but Charlotte NC Preferred

About our Customer:

Our direct customer, a global Fortune 500 company & a leader in the Food Services industry is looking for a Data Engineering Architect, who will be responsible for designing and implementing robust, scalable, and high-performing data solutions on AWS. Works closely with data engineers, software developers, and business stakeholders to ensure our cloud data infrastructure meets the needs of our growing organization.

Technology Stack: Data Architecture, Python and Angular/TypeScript, AWS services like S3, PostgreSQL, DynamoDB, Athena, Snowflake, Lambda, and Glue.

Must have:

Good background on SQL query writing
Strong background on Python coding
Data Audit trails
Proactive communication

Responsibilities:

Define, build, test, and implement scalable data pipelines.
Design and implement cloud-native data architectures on AWS, including data lakes, data warehouses, and real-time data processing pipelines.
Perform data analysis required to troubleshoot data-related issues and assist in the resolution of data issues.
Collaborate with development, analytics, and reporting teams to develop data models that feed business intelligence tools.
Design and build API integrations to support the needs of analysts and reporting systems.
Develop, deploy, and manage AWS Lambda functions written in Python.
Develop, deploy, and manage AWS Glue jobs written in Python.
Ensure efficient and scalable serverless operations.
Debug and troubleshoot Lambda functions and Glue jobs.
Collaborate with other AWS service teams to design and implement robust solutions.
Optimize data storage, retrieval, and pipeline performance for large-scale distributed systems.
Ensure data security, compliance, and privacy policies are integrated into solutions.
Develop and maintain technical documentation and architecture diagrams.
Stay current with AWS updates and industry trends to continuously evolve the data architecture.
Mentor and provide technical guidance to junior team members and stakeholders.

Qualifications:

Experience in data architecture, engineering, or similar roles.
Programming with Python.
Experience in ETL or Data Engineering role building and implementing data pipelines.
Strong understanding of design best practices for OLTP systems, ODS reporting needs, and dimensional database practices.
Hands-on experience with AWS Lambda, AWS Glue, and other AWS services.
Proficient in Python and SQL with the ability to write efficient queries.
Experience with API-driven data access (API development experience a plus).
Solid experience with database technologies (SQL, NoSQL) and data modeling.
Understanding of serverless architecture benefits and challenges.
Experience working in agile development environments.
Highly self-motivated, detail-oriented, and able to work independently.
Strong analytical thinking, problem-solving, and communication skills.
AWS certifications (e.g., AWS Certified Data Analytics - Specialty, AWS Certified Solutions Architect) are highly desirable.

Preferred Skills:

Experience with modern data stack technologies (e.g., dbt, Snowflake, Databricks).
Familiarity with machine learning pipelines and AI-driven analytics.
Background in DevOps practices and Infrastructure as Code (IaC) using tools like Terraform or AWS CloudFormation.
Knowledge of CI/CD pipelines for data workflows.

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.

Dice Id: 90907313
Position Id: 9026552
Posted 3 days ago

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Data Engineering Architect (W2 ONLY)

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