Lead Data Engineer

Eliassen Group
Charlotte, NC, United States
23 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Compensation
$176,800.0 - $197,600.0
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence Airflow Amazon Web Services Amazon S3 Microsoft Azure Continuous Integration Information Engineering Data Governance Extract Transform Load (ETL) Data Vault Modeling Github Identity and Access Management
+23 more
Python (Programming Language) Metadata Amazon Simple Notification Service (SNS) SQL Databases Data Streaming Workflow Management Systems Enterprise Data Management Sql Optimization Large Language Models State Machines Generative AI Containerization Data Lakes Pyspark AWS Data Analytics Apache Kafka Data Management Machine Learning Operations Cloudwatch Amazon Simple Queue Service (SQS) Terraform Confluent Databricks

Job description

Our client seeks a Lead Data Engineer to own architecture and delivery of scalable data platforms on AWS. The role will lead design of data lakes and warehouses, govern IAM and security, and implement resilient pipelines using Python, PySpark, and SQL. The leader will mentor engineers, drive standards for quality and observability, and partner with architects and stakeholders to align solutions with enterprise objectives. Experience with Kafka streaming, Terraform, CI/CD, and orchestration is required. Knowledge of Bedrock, LLMs, RAG, vector databases, and MLOps will support AI-ready pipelines and responsible AI practices., * Lead design, architecture, and implementation of enterprise data solutions across AWS.

  • Partner with developers, data scientists, architects, product owners, and stakeholders to define technical strategy and scalable solutions.
  • Provide technical leadership and mentorship to data engineers and promote engineering best practices.
  • Drive architectural decisions to ensure scalability, security, reliability, and maintainability.
  • Design and oversee data lake and data warehouse solutions using Lake Formation, Redshift, and Athena.
  • Establish standards for data modeling, ETL frameworks, pipeline reliability, monitoring, and operations.
  • Lead end-to-end delivery aligned to business requirements, enterprise standards, and regulatory needs.
  • Oversee production support of AWS data platforms, perform root-cause analysis, and optimize performance.
  • Champion data quality, governance, observability, and stewardship across platforms and teams.
  • Identify modernization opportunities using automation and cloud-native technologies.

Requirements

Due to client requirements, applicants must be willing and able to work on a w2 basis. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance., * 8+ years in data engineering with 5+ years on AWS.

  • Expertise with S3, EMR, Glue, Lambda, Athena, CloudTrail, SNS, SQS, CloudWatch, and Step Functions.
  • Experience creating AI applications with AWS Bedrock.
  • Strong background in data lakes and warehouses with Lake Formation, Redshift, and Athena.
  • Extensive experience with Kafka streaming, preferably Confluent Kafka.
  • Advanced SQL and data modeling including dimensional and data vault.
  • Deep experience building scalable and resilient pipelines in AWS.
  • Hands-on PySpark on EMR and advanced Python development.
  • Expertise with Terraform for Infrastructure as Code.
  • CI/CD with GitHub and GitHub Actions.
  • Deep knowledge of AWS IAM roles, policies, governance, and security best practices.
  • Workflow orchestration with Step Functions, Airflow, or similar.
  • Leadership in cloud migration, modernization, and enterprise data platforms.
  • Strong understanding of data governance, metadata, data quality, and observability.
  • Proficiency with Generative AI concepts, LLMs, RAG, vector databases, and MLOps.
  • Experience with Azure or Databricks is a plus.

Benefits & conditions

Skills, experience, and other compensable factors will be considered when determining pay rate. The pay range provided in this posting reflects a W2 hourly rate; other employment options may be available that may result in pay outside of the provided range.

W2 employees of Eliassen Group who are regularly scheduled to work 30 or more hours per week are eligible for the following benefits: medical (choice of 3 plans), dental, vision, pre-tax accounts, other voluntary benefits including life and disability insurance, 401(k) with match, and sick time if required by law in the worked-in state/locality. If anyone reaches out to you about an open position connected with Eliassen Group, please ensure that you are working directly with us by confirming the following:

When you work with Eliassen Group, all email communication will come from an Eliassen.com address, never Gmail, Yahoo, etc.

About the company

Eliassen Group is a strategic consulting firm that helps organizations reach further and achieve more through our technology, business advisory, and life sciences solutions. For nearly 40 years, we have combined exceptional people, deep domain expertise, and intelligent capabilities to expand our clients’ capacity and accelerate meaningful outcomes. We are driven by a purpose to positively impact the lives of our employees, clients, consultants, and the communities we serve.

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