Lead Data Architect

The Lead Data Architect 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 through enhanced intelligence.

This is a unique opportunity to help build the data platform for a greenfield ecosystem, creating 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.

Key Responsibilities

• Build reliable and scalable data pipelines and capabilities across the platform, with full ownership under mentorship of talented engineers
• Design and support complex data models and architectures, integrating multiple services, SaaS tooling, and third-party data in a cloud-based environment
• Promote data availability, accuracy, and coherence throughout its lifecycle, documenting models in relevant data management tools
• Write well-rounded, reusable, and well-documented code that captures the essential nature of each solution
• Maintain high standards across documentation, testing, resiliency, monitoring, and code quality
• Ensure compliance with data quality, governance, and security across the platform, adhering to relevant regulations
• Collaborate cross-functionally to enhance data processes, automation, and integration across teams

Required Skills & Experience

• 7-10 years of relevant professional experience in Data Engineering or a related field
• Experience working with mature cloud data platforms (AWS, GCP, or Azure)
• Hands-on experience building resilient batch (Airflow, Fivetran, Mage AI, Airbyte) and streaming (Kafka, Kinesis, Flink, Spark) data pipelines
• Experience developing data models in modern cloud data warehouses (dbt, BigQuery, Snowflake) and/or working with legacy ecosystems (Oracle, Postgres)
• Experience working with Data Management platforms that define and document the nature of the data in your pipelines (DataHub, OpenMetadata, Atlas, Horizon), including developing data quality tests
• Ability to build platform components using IaC (Terraform, OpenTofu, Ansible), containerization (Docker), and CI/CD tools (Jenkins, GitHub Actions)
• Strong SQL and Python skills, with eagerness to deepen technical expertise
• Growth mindset and appetite for stretch challenges
• Curiosity and collaboration skills - excited to learn from others, tackle open-ended problems, and grow through feedback
• Up to date on emerging trends in data; AI-proficient or AI-curious, excited to leverage new technology to enhance productivity

Travel Required 0-10%

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.

For more information, visit InvestCloud.com.

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: $170,000 - $180,000

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.

#LI-HJ1