Lead Data Engineer
ASCII Group LLC
- Job
- 28647
- Posted
- Location
- Austin, TX
- Work type
- Contract
- Tax terms
- W2, C2C, 1099
- Experience
- Experience open
- Rate
- $65 to $70 (Hourly)
- Openings
- 1 opening
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Skills
- SQL
- Python
- dbt
- Snowflake
- Data Modeling
- Data Warehousing
- Requirements
About the job
Hi
The following requirement is open with our client.
Title : Lead Data Engineer
Location : Austin, TX
Duration : 12 Months
Relevant Experience (in Yrs.) :
Onsite role (F2F interview)
Detailed Job Description:
Data Architecture & Pipeline Engineering:
• Architect, build, and optimize high-throughput, low-latency data pipelines handling large-scale and complex datasets.
• Design analytical models and transformation layers utilizing Snowflake, SingleStore, and DBT.
• Ensure high performance, data integrity, and cost efficiency across distributed architectures.
Business Engagement & Rapid Prototyping:
• Engage directly with senior business leaders to understand strategic needs, translate ambiguity into technical roadmaps, and convert ideas into production-ready POCs rapidly.
• Lead end-to-end technical delivery from discovery through architecture, implementation, and handover.
AI-Powered Reporting & Modern Analytics:
• Build next-generation reporting solutions that integrate AI/LLMs (e.g., automated narrative generation, natural language to SQL/analytics, dynamic summarization).
• Design APIs and data consumption layers to serve operational dashboards and interactive analytics applications.
Qualifications & Skillsets Must-Have:
• Big Data & Data Warehousing: 8+ years of hands-on data engineering/architecture experience with massive, complex data sets.
• Deep expertise in Snowflake; strong experience with SingleStore (or high-concurrency real-time databases) highly preferred.
• Modern Data Stack: Expert-level data modeling and transformation workflows using dbt and robust orchestrators/pipelines.
• Stakeholder & Business Interaction: Proven ability to work directly with business stakeholders, gather requirements, present technical solutions, and iterate quickly based on feedback.
• AI-Enabled Analytics: Demonstrated capability in leveraging AI/LLM tooling to power reporting, intelligent data extraction, or conversational analytics interfaces.
• Core Languages: Advanced SQL and Python.
Must Have Skill
Snowflake
GenAI
Python
DBT