Lead Data Warehouse Architect - Snowflake & AWS

LPL Financial LLC

Fort Mill, Charlotte (SC, NC)

Hybrid

USD 120,000 - 190,000

Full time

7 days ago
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Benefits offered by this job

401K matching
health benefits
employee stock options
paid time off
volunteer time off

Job summary

LPL Financial LLC is seeking a Data Warehouse Technical Lead to drive design, development, modernization, and support of enterprise data warehousing solutions. You will lead technical design, mentor team members, and partner with business stakeholders while hands-on in data engineering, performance optimization, and production support—hybrid work in Austin or Fort Mill.

The ideal candidate has 10+ years in data engineering/warehousing, strong Snowflake and cloud experience, and advanced SQL

Qualifications

  • Bachelor's degree in Computer Science, Information Systems, Engineering, or related field (Master's preferred).
  • 10+ years in Data Engineering, Data Warehousing, Analytics Engineering, or Data Architecture.
  • 5+ years hands-on with Snowflake and cloud data platforms.
  • Advanced SQL development, optimization, debugging and data validation.

Responsibilities

  • Lead design, development, enhancement, and support of enterprise data warehouse solutions.
  • Build and maintain scalable ETL/ELT pipelines and data integrations.
  • Develop and optimize complex SQL queries and data models.
  • Drive cloud-native data solutions using AWS services (S3, Glue, Lambda, MWAA, Redshift).
  • Mentor engineers and collaborate with stakeholders; ensure data quality and governance.

Skills

Snowflake
AWS
DBT
SQL
ETL/ELT
Python
Apache Airflow MWAA

Education

Bachelor's degree in Computer Science/IS/Engineering or related field
Master's degree preferred

Tools

PostgreSQL
Oracle
SQL Server
Informatica PowerCenter
Apache Airflow
Terraform
GitHub

Job description

LPL Financial LLC is seeking a Data Warehouse Technical Lead to drive design, development, modernization, and support of enterprise data warehousing solutions. You will lead technical design, mentor team members, and partner with business stakeholders while hands-on in data engineering, performance optimization, and production support—hybrid work in Austin or Fort Mill.

The ideal candidate has 10+ years in data engineering/warehousing, strong Snowflake and cloud experience, and advanced SQL

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