Director of Data Engineering & Analytics (Remote)

Arcadia; United States; Remoto; USD 165.000 - 296.000; Tempo pieno

Vantaggi offerti da questo lavoro

Remote first

Flexible PTO

Holidays (12)

Sick leave (10)

Bereavement leave (4w)

Volunteer days

Dev days

Parental leave (12w)

Benefits coverage (75-95%)

Descrizione del lavoro

Arcadia is seeking a proven Data & Analytics leader to run the data team. This role reports to the VP of Engineering and drives an always-on system to analyze and improve products while processing millions of utility bills monthly.

You will scale a Data & Analytics function at a SaaS company with Snowflake, dbt, Hex, and modern ingestion tools. Lead across Data Analytics, Data Science, and Data Engineering, shaping multi-year data infrastructure and enterprise modeling.

Competenze

• Experience leading Data & Analytics at high-growth SaaS companies.
• Expertise with large-scale data processing and Snowflake.
• Hands-on with dbt, Hex, and data ingestion tools like Fivetran/Airbyte.
• Strong data storytelling and cross-functional collaboration.
• 12+ years in data-intensive environments with SQL and Python.

Mansioni

• Build, lead, and scale a data organization across analytics, science, and engineering.
• Oversee processing of millions of utility bills monthly with reliable pipelines.
• Ensure data quality and actionable product insights.
• Develop multi-year data infrastructure and enterprise data model strategy.
• Balance R&D investments with high-ROI data products.
• Evolve Snowflake architecture to handle exponential growth.
• Own Arcadia’s enterprise unified data model across applications.

Conoscenze

Snowflake

dbt

Hex

Fivetran

Airbyte

SQL

Python

Data leadership

Data modeling

Data governance

Cost management

Communication

Strumenti

Airflow

Dagster

Descrizione del lavoro

Arcadia is seeking a proven Data & Analytics leader to run the data team. This role reports to the VP of Engineering and drives an always-on system to analyze and improve products while processing millions of utility bills monthly.

You will scale a Data & Analytics function at a SaaS company with Snowflake, dbt, Hex, and modern ingestion tools. Lead across Data Analytics, Data Science, and Data Engineering, shaping multi-year data infrastructure and enterprise modeling.