BI Lead Data Analytics Engineer, MTA Solutions

BI Lead - FT - Data Analytics Engineer, MTA Solutions

Doctronic is building the future of healthcare intelligence. As the BI Lead
, you will architect, build, and operationalize a new data lake and BI stack from scratch.

Base pay range: $150,000 – $200,000 per year.

Location: Remote (US‑based preferred)

Team: Data / Growth / Engineering

Reports to: Head of Marketing & Data

About Us: Our platform powers multi‑touch attribution (MTA) and advanced analytics. We are building a modern Python/FastAPI backend and a new data lake.

The Role: Hands‑on, build‑from‑scratch. You’ll architect the company’s first data lake, ingestion frameworks, and attribution pipelines, scale them into a robust BI environment, and drive attribution insights across the company.

• Architect & build a centralized data lake to unify raw, structured, and semi‑structured data.
• Define ingestion patterns for streaming and batch pipelines across internal apps, SaaS tools, APIs.
• Build pipelines that support advanced multi‑touch attribution models (rule‑based, probabilistic, ML‑driven).
• Deliver accurate, timely, and explainable attribution outputs for marketing spend decisions.
• Own ETL/ELT frameworks using Python, SQL, and orchestration tools; deploy workflows in FastAPI + Celery.
• Define schemas and data models feeding dashboards, experimentation, decision‑making.
• Enable self‑service analytics for marketing, product, and finance teams.
• Define data contracts, quality checks, documentation, access control (governance).
• Continuously improve cost efficiency, performance, and observability of the data stack.

• 7+ years in data engineering, analytics, or BI roles.
• Strong experience designing and implementing data lakes/warehouses from scratch.
• Expertise with SQL and modern data warehouse/lakehouse technologies (Snowflake, Big Query, Redshift, Delta Lake, etc.).
• Strong Python engineering skills; proven willingness to ramp into async patterns, FastAPI, Celery.
• Experience with ETL/ELT frameworks, pipeline orchestration, API ingestion.
• Familiarity with attribution, experimentation, or marketing analytics.
• Excellent communicator capable of bridging technical and business teams.

• Exposure to marketing/healthcare data ecosystems (GA4, Freshpaint, Braze, ad platforms, EHRs).
• Hands‑on distributed computing (Spark, Dask).
• Experience leading a small team or mentoring juniors.
• Familiarity with HIPAA or regulated environments.

• Lead end‑to‑end build of a greenfield data lake and BI environment.
• Tackle attribution and compliance at scale in healthcare.
• High‑impact role shaping company architecture for years.

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