Business Intelligence (BI) Team Lead & Architect

Company Description : Outamation delivers compliance-first AI workflow automation solutions for U.S. mortgage servicers, focusing on loss mitigation, default servicing, and document workflows. The company helps clients reduce risk, meet regulatory and investor timelines, and lower operational costs through highly automated, data-driven processes. Outamation is ISO/IEC 42001 certified for AI governance and maintains SOC 2 Type II and ISO 27001 certifications, demonstrating strong security and compliance practices. Team members work in a domain where technology, regulation, and financial services intersect, contributing to impactful solutions for the mortgage servicing industry.

Role Description : We are seeking a hands-on BI Team Lead & Architect to take full ownership of our data reporting infrastructure. In this role, you will lead a team of BI developers to dismantle our legacy batch-replication pipelines and architect a sustainable, highly scalable Real-Time Analytics Platform.

You will design and deploy a dual-access Apache Superset ecosystem (nice to have) : a headless, secure embedded portal for our external clients, and a self-service analytics hub for our internal business units.

The ideal candidate bridges the gap between expert-level data engineering (CDC, streaming pipelines, OLAP databases) and strategic team leadership.

Key Responsibilities :

1. Architecture & Platform Engineering

2. BI Delivery & Management

3. Leadership & Operations

Required Technical Skills & Qualifications :

· Experience: 5+ years in Data Engineering, Analytics Engineering, or BI Architecture, with at least 1–2 years in a team lead or supervisory capacity.

· BI Platforms: Expert knowledge of Apache Superset (nice to have), including the Embedded SDK, superset_config.py overrides, Celery background workers, and caching architectures.

· Streaming & CDC: Deep understanding of real-time streaming technologies and log-based CDC connectors (e.g., Debezium, Estuary Flow, Airbyte, Kafka, or AWS DMS).

· Modern Databases: Advanced proficiency in writing and optimizing queries for relational databases (SQL Server, PostgreSQL) and columnar OLAP engines (specifically ClickHouse or similar).

· Application Backend Integration: Basic familiarity with backend web application logic (Node.js, Python, or Go) to assist product developers with secure JWT token generation.

· DevOps/Git: Proficiency with Git, CI/CD pipelines, and containerization tools (Docker, Kubernetes) to maintain segregated dev/prod environments.