Data Engineering Tech Lead: Architect Real-Time Pipelines

Quicklizard

United States

On-site

USD 140,000 - 200,000

Full time

11 days ago

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Job summary

Quicklizard is seeking a Data Engineering Tech Lead to own end-to-end data architecture, design scalable pipelines, and mentor a team of data engineers while contributing code. The role spans ingestion, data lake, analytics, and API data exposure across AWS and GCP.

You will set technical direction and drive architectural decisions to support pricing decisions at scale. The ideal candidate brings 5+ years in data engineering, deep SQL, Python/Go, and hands-on experience with cloud data

Qualifications

Minimum 5 years of production data engineering experience.
Deep SQL expertise and distributed processing with Spark or equivalent.
Proficient in Python and/or Go.
Hands-on experience with cloud data warehouses (BigQuery, Snowflake, Redshift) and orchestration tooling.
Experience with AI tools/LLM-driven data products is a plus.
Proven technical leadership, mentoring, and architecture ownership.

Responsibilities

Architect and build large-scale batch and streaming ETL/ELT pipelines.
Own data lake design, table modeling, and partitioning strategy across billion-row datasets.
Drive query performance and cloud cost optimization across AWS and GCP.
Establish data quality, observability, and reliability standards (freshness, correctness, SLAs).
Partner with backend, product, and data science teams to expose data via APIs.
Lead technically: review designs and code, mentor engineers, raise the bar for the data org.