Hiring: Data Architect Company: Gravity IT Resources Location: Charlotte, NC Job Posted Time: 2026-09-16 18:31:37 Employment Type: Remote Target Skills & Keywords : AWS, Airflow, CI/CD, CloudWatch, Data Lake, Data Mesh, Data Pipeline, Data Warehouse, EMR, ETL, Enterprise Architecture, Event-Driven, GitHub, GitHub Actions, IAM, Infrastructure as Code, Kafka, LLM, Lambda, MLOps, PySpark, Python, RAG, Redshift, S3, SNS, SQL, SQS, Step Functions, Terraform, Vault About the job Experience: •8+ years of experience in Data Engineering, including 5+ years working extensively within AWS ecosystems Required Skills: •The Lead AWS Data Engineer/Data Architect will also mentor engineers, set engineering standards, and help shape the organization's data modernization and AI-readiness roadmap. •Lead the design, architecture, and implementation of enterprise data engineering solutions across the AWS ecosystem •Partner cross-functionally with Lead Developers, Data Scientists, Architects, Product Owners, and business stakeholders to define technical strategy and scalable solutions •Provide technical leadership and mentorship to Data Engineers and development teams, promoting engineering excellence and best practices •Drive key architectural decisions in partnership with Data Architects and Solution Architects to ensure scalability, security, reliability, and maintainability •Design and oversee data warehouse and data lake solutions that balance business usability, performance, and long-term sustainability •Establish engineering standards for data modeling, ETL frameworks, pipeline reliability, monitoring, and operational excellence •Lead end-to-end solution delivery, ensuring alignment with business requirements, enterprise architecture standards, and regulatory requirements Qualifications: •Expert-level experience with AWS services including S3, EMR, Glue Jobs, Lambda, Athena, CloudTrail, SNS, SQS, CloudWatch, and Step Functions •Strong experience designing and implementing enterprise-scale data lake and data warehouse solutions using Lake Formation, Amazon Redshift, and Amazon Athena •Extensive experience with Kafka-based streaming architectures, preferably Confluent Kafka •Advanced SQL and data modeling expertise, including dimensional modeling, data vault, and large-scale data warehousing •Deep experience designing, developing, and optimizing scalable, resilient data pipelines within AWS environments •In-depth knowledge of distributed data processing frameworks, particularly PySpark and EMR •Advanced Python development skills with extensive hands-on experience using PySpark •Expertise in Infrastructure as Code using Terraform •Deep knowledge of AWS IAM roles, policies, governance, and security best practices •Strong experience with workflow orchestration tools such as AWS Step Functions, Apache Airflow, or equivalent Compensation: •Flexible work environment (work from home / hybrid options) Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!