Solutions Architect, Data Engineering
Snowflake$128,000 - $178,500/year
Full Time
Junior (1 to 2 years)
$170,000 – $200,000Compensation
Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Technology, AI/MLIndustries
Requirements
- Event-driven ETL/data pipeline experience (Kafka, EventBridge, Snowflake, S3, Python/Celery)
- Direct work with LangChain/LangGraph/LlamaIndex/Pinecone multi-agent orchestration
- QA, documentation, monitoring, and collaborative agile process skills
- Experience with cross-cloud, multi-source integration and incident resolution
Responsibilities
- Build event-driven data workflows (Snowflake, S3, Kafka, EventBridge, Celery, AWS Batch), integrate with FactSet, Sharepoint, Proxy connectors, and expose agentic features (LangChain, LangGraph, LlamaIndex, Pinecone)
- Develop, maintain, and monitor vector database (Pinecone) pipelines, LLM and ML endpoints, ensuring agent memory/state is managed for retrieval-augmented pipelines
- Automate schema/version change management, event contract validation, lineage tracking, and observability
- Write, run, and document QA/test coverage for ETL, agentic triggers, and GenAI model events, with incident and postmortem participation
- Collaborate in agile ceremonies: propose improvements, troubleshoot delivery bottlenecks, and share technical knowledge via docs and training sessions
- Implement and monitor security, compliance, and resiliency standards at all stages of the data/model workflows
- Help onboard new team members; mentor engineers in agentic and event-driven data engineering best practices
- Architect, build, and operate real-time/batch ETL pipelines, agentic orchestration flows, and AI/ML endpoints for autonomous, multi-agent production systems
- Contribute actively to team processes, documentation, and operational quality
Skills
Key technologies and capabilities for this role
Questions & Answers
Common questions about this position
What is the salary range for the AI Data Engineer position?
The salary range is $170,000 - $200,000 a year.
Is this a remote position or does it require office work?
This information is not specified in the job description.
What key skills are required for this role?
Required skills include event-driven ETL/data pipeline experience with Kafka, EventBridge, Snowflake, S3, Python/Celery, and direct work with LangChain/LangGraph/LlamaIndex/Pinecone for multi-agent orchestration, plus QA, documentation, monitoring, and agile collaboration.
What is the team culture like at AHEAD for this role?
The team emphasizes collaboration in agile ceremonies, contributing to processes and documentation, mentoring new members, sharing knowledge via docs and training, and troubleshooting bottlenecks together.
What makes a strong candidate for this AI Data Engineer role?
Strong candidates have hands-on experience with event-driven pipelines using Kafka, EventBridge, Snowflake, S3, Python/Celery, and agentic tools like LangChain, LangGraph, LlamaIndex, Pinecone, along with skills in QA, monitoring, agile collaboration, and cross-cloud integrations.
AHEAD
Digital transformation and cloud consulting services
About AHEAD
AHEAD specializes in digital transformation services, focusing on helping medium to large enterprises modernize their IT infrastructure. The company offers a range of services including cloud migration, automation, and infrastructure optimization, primarily using Microsoft Azure. AHEAD's products work by providing tailored consulting and managed services that guide clients through the complexities of digital transformation. What sets AHEAD apart from its competitors is its deep expertise in cloud solutions and a strong client-centric approach, which has been validated by achieving Gold Cloud Platform Competency with Azure. The company's goal is to empower organizations to take control of their digital transformation journeys and achieve sustainable success.
Chicago, IllinoisHeadquarters
2007Year Founded
BUYOUTCompany Stage
Consulting, Enterprise SoftwareIndustries
1,001-5,000Employees
Benefits
Health Insurance
401(k) Retirement Plan
Paid Vacation
Paid Sick Leave
Risks
Emerging cloud service providers offer similar services at lower costs.
Rapid technological advancements may outpace AHEAD's solution updates.
Economic downturns could reduce spending on digital transformation projects.
Differentiation
AHEAD specializes in digital transformation with a focus on cloud solutions.
The company achieved Gold Cloud Platform Competency with Microsoft Azure.
AHEAD offers tailored solutions for cloud migration and infrastructure optimization.
Upsides
Increased demand for hybrid cloud solutions aligns with AHEAD's expertise.
Growing interest in AI-driven IT operations presents new opportunities for AHEAD.
The rise of edge computing offers AHEAD opportunities in edge-to-cloud solutions.
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