LPL Financial moliyaviy mutaxassislar, muassasalar va individual investorlar uchun boylikni boshqarish xizmatlari hamda texnologiyalarni taqdim etadi. Uning platformasi maslahatchilarni qo‘llab-quvvatlash, konsalting, investitsiya tadqiqotlari, texnologiyalarni integratsiya qilish va biznesni rivojlantirish resurslarini birlashtirib, moliyaviy maslahatchilarga o‘z faoliyatini rivojlantirish va mijozlarga shaxsiylashtirilgan maslahat berishga yordam beradi. Kompaniya moliya, sug‘urta va konsalting sohalarida faoliyat yuritadi, uning xizmatlari esa tajribaga ega firmalar hamda rivojlanayotgan maslahat bizneslarini qo‘llab-quvvatlashga mo‘ljallangan.
VP Principal Data Engineer
Lead the modernization of cloud data platforms and investor reporting systems at LPL Financial. Guide ETL, streaming, and engineering strategy for its wealth management business.
Tavsif
- Deliver scalable, high-quality, cost-effective data solutions that support business priorities
- Direct engineering pods from planning through delivery, balancing employee and vendor resources to improve execution and reduce operational risk
- Work with business and technology leaders to set priorities, speed delivery, and raise engineering productivity
- Coach engineers and strengthen engineering quality, innovation, accountability, and continuous improvement
- Design and build cloud-native data platforms for large-scale ingestion, transformation, validation, and distribution
- Build and tune ETL/ELT pipelines with Python, AWS, Snowflake, dbt, Airflow, and related tools
- Create event-driven and real-time data processing solutions with Kafka, EventBridge, SQS, SNS, and related technologies
- Update legacy platforms with secure, resilient, reusable cloud-native architectures and patterns
- Set technical roadmaps, engineering standards, and practices that advance enterprise data capabilities
- Maintain platform reliability, scalability, performance, and compliance with service-level objectives
- Establish data quality, observability, auditing, reconciliation, and monitoring capabilities
- Expand CI/CD, DevOps automation, and operational practices to improve resilience and efficiency
- Lead investigation and resolution of complex production incidents while improving cloud performance and cost control
- Collaborate with architects, product teams, and business stakeholders to deliver modern data products and platform capabilities
- Shape technical strategy, architecture choices, automation, and ongoing innovation across the data ecosystem
Talablar
- 10+ years designing and developing large-scale ETL/ELT pipelines and data platforms with AWS, Glue, S3, RDS/Aurora, Snowflake, dbt, and Airflow
- 8+ years of hands-on experience building data solutions with Python
- 6+ years building event-driven and streaming architectures with Kafka, EventBridge, SQS, and related technologies
- 6+ years working with relational and NoSQL databases, including performance tuning and optimization
- 6+ years using source control, CI/CD, and DevOps practices with GitHub, TeamCity, Jenkins, Octopus, or similar tools
- Technical leadership and sound architectural decision-making
- Deep knowledge of data engineering, ETL/ELT, and cloud-native platforms
- Strong analytical, problem-solving, and strategic planning abilities
- Ability to turn complex business needs into scalable technical solutions
- Excellent communication and stakeholder management skills
- Demonstrated ability to lead high-performing teams in fast-paced, agile settings
- Preferred: 5+ years in financial services, wealth management, or brokerage organizations
- Experience with AI-assisted development tools such as GitHub Copilot, Copilot Chat, Cursor, or similar tools
- Experience with Terraform, infrastructure automation, and data lake implementations
- AWS Associate-level certification, such as AWS Certified Developer – Associate or AWS Certified Solutions Architect – Associate
- Experience leading enterprise cloud modernization and data transformation programs
- Experience developing APIs and microservices with .NET technologies
- Familiarity with GitHub Copilot and other AI-assisted development tools
Imtiyozlar
- 401(k) matching
- Health benefits
- Employee stock options
- Paid time off
- Volunteer time off
- Competitive LPL Total Rewards package