19 часов назад
Lead Data Warehouse Technical Analyst (Snowflake)
115 600 - 192 600$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Lead Data Warehouse Technical Analyst (Snowflake/AWS): Designing, developing, modernizing, and supporting enterprise data warehouse solutions and scalable ETL/ELT pipelines for Finance, Reporting, and Analytics with an accent on cloud-native architecture, SQL performance, data governance, and operational reliability. Focus on building AWS data solutions, optimizing Snowflake workloads, leading technical design, and mentoring data engineering teams.
Location: Hybrid work in LPL's Austin or Fort Mill offices; the listed location is Fort Mill/Charlotte, United States.
Salary: $115,600–$192,600 per year
Company
is a U.S. wealth management firm providing financial advisors and institutions with investment solutions, fintech tools, affiliation models, and practice management services.
What you will do
- Lead the design, development, modernization, and support of enterprise data warehouse solutions using Snowflake and AWS.
- Build and maintain scalable ETL/ELT pipelines, data integrations, and transformation frameworks for Finance, Reporting, Analytics, and Business Intelligence.
- Develop, optimize, troubleshoot, and review complex SQL queries, data models, and warehouse structures.
- Design cloud-native data solutions using AWS S3, Glue, Lambda, MWAA, and Redshift.
- Establish data quality, governance, security, monitoring, deployment, testing, and operational excellence practices.
- Lead technical design discussions, mentor data engineers and technical analysts, and partner with stakeholders, architects, and engineering teams.
Requirements
- Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field; a master's degree is preferred.
- At least 10 years of experience in data engineering, data warehousing, analytics engineering, data architecture, or related disciplines.
- At least 5 years of hands-on experience with enterprise data warehouses using Snowflake and cloud-based data platforms.
- Advanced SQL development experience, including query optimization, performance tuning, troubleshooting, and data validation.
- Experience designing and supporting scalable ETL/ELT pipelines with AWS, DBT, Python, and modern data transformation frameworks.
- Experience with enterprise data warehouse architecture, dimensional modeling, data governance, data quality, metadata, security, and Agile delivery.
Nice to have
- Financial services industry experience.
- Experience with PostgreSQL, Oracle, SQL Server, Informatica PowerCenter, Apache Airflow, Terraform, GitHub, CI/CD, and DevOps automation.
- AWS or Snowflake SnowPro certification.
- Experience with cloud migration, platform modernization, M&A integration, and large-scale reporting and analytics environments.
Culture & Benefits
- Collaborative, team-oriented environment focused on continuous improvement and client success.
- 401(k) matching, health benefits, employee stock options, paid time off, and volunteer time off.
- Opportunities to contribute to enterprise cloud migration and data platform modernization initiatives.
Hiring process
- Applications are submitted through the LPL careers process.
- Candidate communications are sent directly from an @lplfinancial.com email address.
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