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Associate Principal Data Engineer
InvestCloudOct2024
- +3
- +6
- United States
- +3
- +6
- United States
Über
The Senior Data Engineer will join InvestCloud's newly formed AI, Data & Analytics team, whose mission is to drive increased value from the data InvestCloud captures to enable a smarter financial future for our clients focused on enhanced intelligence. This is a unique opportunity to shape the architecture and technical execution patterns of a greenfield ecosystem to create a next-generation advisor and client experience. The team is building for scale the technology and infrastructure designed today will serve thousands of clients and petabyte-level data volumes. Core Stack AWS as our cloud provider Oracle as our legacy data warehouse Snowflake as our next-generation data warehouse Mage AI for data ingestion and processing Kafka as our message bus Terraform for building infrastructure Key Responsibilities Build reliable and scalable data pipelines and capabilities across the platform, and monitor and support the capabilities offered Construct complex architectures integrating multiple services, SaaS tools, and third-party data sources in a cloud-based environment Contribute to the team's technical strategy and its execution through prioritization and delivery management Set and enforce high standards for documentation, testing, resiliency, monitoring, and code quality Drive efficiency, optimize cloud spend, reduce technical debt, and simplify code, infrastructure, and data models Write reusable and well-documented code that captures the essential nature of the solution Inspire and guide team members through design sessions, code reviews, and operational process ownership Promote data quality, governance, and security as core principles of the platform, ensuring compliance with relevant regulations Preferred Skills, Experience, and Education Bachelor's degree in Computer Science, Data Engineering, or a related field; advanced degree is a plus 6+ years of professional experience in Data Engineering Experience shaping the architecture of a mature cloud data platform (AWS, GCP, or Azure) designed for different consumer types and delivering measurable business value Hands-on experience building resilient batch (Airflow, Fivetran, Mage AI, Airbyte) and streaming (Kafka, Kinesis, Flink, Spark) data pipelines at scale (>1 TB/day) Experience designing and implementing performant, reusable, and scalable data models in a cloud data warehouse (dbt, BigQuery, Snowflake) and with legacy ecosystems (Oracle, Postgres) Proven experience running PoCs, leading large data or code migrations, and contributing to roadmap planning Ability to build and maintain infrastructure using IaC (Terraform, OpenTofu, Ansible), containerization (Docker), and CI/CD tools (Jenkins, GitHub Actions) Experience with operational monitoring tools for data and infrastructure observability (Monte Carlo, Datadog, Prometheus), and incident management (PagerDuty, incident.io) Proficiency in SQL and Python, with confidence applying them across data engineering tasks Strong communication and collaboration skills with both technical and non-technical stakeholders AI-proficient or AI-curious, with interest in using emerging technologies to enhance productivity Exposure to Machine Learning frameworks (TensorFlow, PyTorch, Scikit-learn) and LLM frameworks (LangChain) About InvestCloud InvestCloud, a global leader in wealth technology, aspires to enable a smarter financial future. Driving the digital transformation of the wealth management industry, the company serves a broad array of clients globally, including Wealth and Asset Managers, Wirehouses, Banks, RIAs, and Insurers. In terms of scale, the company's clients represent more than 40 percent of the $132 trillion of total assets globally. As a leader in delivering personalization and scale across advisory programs, including unified managed accounts (UMA) and separately managed accounts (SMA), InvestCloud is committed to the success of its clients. By equipping and enabling advisors and their clients with connected technology, enhanced intelligence, and inspired experiences, InvestCloud delivers leading digital wealth management and financial planning solutions complemented by a dynamic data warehouse that scales across the complete wealth continuum. In 2024, InvestCloud was named
CNBC World's Top Fintech Company , a proof point of the company's commitment to innovation and client success. Headquartered in the United States, InvestCloud serves clients around the world. Our Values Client Connected Human Centered Technology Forward Respect + Integrity Excellence The actual salary will vary based on applicant's education, experience, skills, and abilities, as well as internal equity and alignment with market data. The salary may also be adjusted based on the applicant's geographic location. Salary Range: $165,000 $175,000 Benefits include medical/Rx, dental, vision, disability, and life/AD&D insurance plans, Flexible Savings Account (FSA), Health Savings Account (HSA), Employee Assistance Plan (EAP), health advocacy, voluntary ancillary plans (accident, critical illness, hospital indemnity, legal, identity theft, auto/home, and pet insurance), 401(k) retirement savings plan with company match, and paid time off.
Wünschenswerte Fähigkeiten
- AWS
- Docker
- Kafka
- Python
- SQL
- Terraform
Berufserfahrung
- Data Engineer
- Machine Learning
- Data Infrastructure
Sprachkenntnisse
- English
Hinweis für Nutzer
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