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AWS Data Architect

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EVEREST CONSULTING GROUP, INC

Clinton, NJ (In Person)

Full-Time

Posted 1 week ago (Updated 1 week ago) • Actively hiring

Expires 7/13/2026

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Job Description

AWS Data Architect Introduction We are seeking a highly experienced and hands-on AWS Data Architect to lead the design, implementation, and governance of enterprise-scale data platforms on AWS. This role requires deep technical expertise, strong architectural ownership, and the ability to actively contribute to development while guiding teams. The ideal candidate will be a player-coach-capable of defining architecture, building solutions, and ensuring best practices across data engineering, analytics, and governance. Responsibilities Define and own end-to-end data architecture on AWS (ingestion, storage, transformation, consumption) Design scalable, secure, and high-performing data platforms (lakehouse / modern data stack) E stablish standards for data modeling, partitioning, metadata, and lifecycle management Architect solutions for both batch and real-time data processing Build and implement pipelines using AWS Glue, EMR, Lambda, Step Functions Design data storage using S3,
Redshift, RDS, DynamoDB Requirements Required Skills:
12+ years of experience, including 5 to 7 years in AWS Data Architecture Deep experience with S3, AWS Glue, Amazon Redshift, Lambda, Step Functions, IAM, Lake Formation Strong hands-on experience with PySpark / Spark, SQL, Python for data pipelines Expertise in data lake/lakehouse architectures, data modeling, metadata and cataloging strategies, handling large-scale, distributed data systems
Preferred Skills:
Experience with dbt, Airflow, Snowflake Experience with BI tools such as QuickSight, Tableau, Power BI Experience with API-based ingestion and microservices-based data flows Experience with
SQL & Data Modeling Soft Skills:
Strong ownership mindset and ability to drive architecture end-to-end Excellent communication with both technical and business stakeholders Ability to work in fast-paced, ambiguous environments Proven leadership and mentoring experience
Nice-to-Have:
AWS Certifications (Solutions Architect, Data Analytics Specialty) Experience with data governance frameworks / regulatory compliance Background in large enterprise transformations