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About the Role

This role is for an expert-level leader who can define architectural solutions, mentor others, and influence the technical direction of client projects, with deep knowledge of system optimization and data governance.

Responsibilities

• Define and implement architectural solutions that ensure the delivery speed and scalability of data pipelines, including the design and enforcement of the Medallion Architecture (or similar tiered structures).
• Lead the adoption of managed and serverless cloud offerings to create performant and scalable cloud-native application solutions, leveraging lakehouses and warehouses.
• Drive best practices for advanced ETL/ELT workflows, data governance, and data quality across platforms, utilizing tools like dbt and Fivetran for orchestrating jobs and executing code from notebooks.
• Serve as a technical leader, defining and enforcing data security and access control policies across all data pipelines and platforms.
• Serve as a technical leader, ensuring robust systems across heterogeneous technology environments and BI integrations (e.g., Tableau, Looker, and Power BI).

Requirements

• Mastery of Python and advanced proficiency in SQL (TypeScript/JavaScript/Java a plus).
• Extensive experience designing and building robust CI/CD pipelines and managing Infrastructure as Code.
• Deep expertise in ETL/ELT process optimization, dimensional data modeling, and data security best practices.
• Expertise in 3–5 major cloud and data platforms and exposure to all (AWS, GCP, Azure, Snowflake, Databricks, and Fabric).
• Serve as a key resource in client-facing consulting, driving customer engagement, influencing technical solutions for clients, and presenting complex architectural decisions.
• Proven ability to lead customer engagement and influence technical direction in a consulting environment.
• Excellent verbal and written communication skills to collaborate effectively with all stakeholders.
• Background checks may be required for certain positions/projects.

Skills

• Python
• SQL
• TypeScript
• JavaScript
• Java
• CI/CD pipelines
• Infrastructure as Code
• ETL/ELT
• Dimensional data modeling
• Data security
• AWS
• GCP
• Azure
• Snowflake
• Databricks
• Fabric
• dbt
• Fivetran
• Tableau
• Looker
• Power BI

Location

• Remote

Work Type

• Remote
• Full-time

Experience Level

• Expert-level
• 7+ years of industry experience as a hands-on practitioner in Data Engineering
• 5+ years of experience with cloud platforms such as AWS and Azure

Education Level

• Master's degree

Salary/Compensations

• $145,000 – $175,000 USD yearly

Benefits

• Competitive base compensation with performance bonuses
• Comprehensive health, dental, and vision benefits
• 401(k) with company match
• Work on diverse, high-impact engagements across industries
• Direct access to leading-edge data and AI stacks (Snowflake, Databricks, AWS, GCP, Azure)
• Builder culture where analysts lead engagements and ship work, not slides
• Professional development budget and certification support
• Flexible remote work environment with a collaborative, high-talent team

About the Company

• Blue Orange Digital is a boutique data & AI consultancy that delivers enterprise-grade results.
• We design and build modern data platforms, analytics, and ML/AI Agent solutions for mid‑market and enterprise clients across Private Equity, Financial Services, Healthcare, and Retail.
• Our teams work with technologies like Databricks, Snowflake, dbt, and the broader Microsoft ecosystem to turn messy, real-world data into trustworthy, actionable insight.
• We’re a builder‑led, client‑first culture that prizes ownership, clear communication, and shipping high‑impact work.

Equal Opportunity

• Blue Orange Digital is an equal‑opportunity employer.