Senior Data Engineer / Data Architect | Hybrid | Camp Murray, WA with Security Clearance

Ares Enterprise; Tillicum (WA); On-site; USD 140,000 - 200,000; Full time

Job summary

Ares Enterprise is seeking an experienced Senior Data Engineer / Data Architect to lead backend data transformation, pipeline engineering, and relational architecture connecting large enterprise platforms to a centralized Microsoft Dataverse / Azure environment. You will build the data backbone used by developers and analysts to create real‑time apps and dashboards.

Responsibilities include design of ETL/ELT pipelines, star schemas, and secure API egress; ensure data lineage, quality, and RBAC.

Qualifications

• Proven experience designing and orchestrating large-scale data pipelines.
• Strong SQL, Python/PySpark and cloud data services.
• Experience with Databricks, Snowflake, Palantir Foundry, AWS or Azure is a plus.

Responsibilities

• Lead backend data transformation and pipeline engineering for enterprise data platforms.
• Model relational and dimensional data architectures (star schemas) for downstream analytics.
• Build secure, automated API egress connections and ensure data security, lineage, and quality.

Skills

SQL

Python/PySpark

Databricks

Star Schemas

APIs (REST/OData)

Dataverse

Data Lineage

Data Quality

RBAC

Azure/AWS

Tools

Power BI

Power Apps

Job description

We are seeking an experienced Senior Data Engineer / Data Architect to lead backend data transformation, pipeline engineering, and relational architecture connecting large-scale enterprise data platforms to a centralized Microsoft Dataverse / Azure environment. In this role, you will build the foundational, high-performance data backbone used by application developers and business analysts to create real-time operational apps and analytical dashboards. You will handle heavy compute transformations, build automated API egress pipelines, model clean dimensional star schemas, and enforce strict security, data quality, and role-based access controls. If you have proven experience designing and orchestrating data pipelines across commercial enterprise data platforms such as Databricks, Snowflake, Palantir Foundry, AWS, or Azure your skills will translate seamlessly to this role. Key Responsibilities * Data Discovery & Pipeline Engineering: Map raw, multi-source enterprise datasets; design, deploy, and maintain automated, fault-tolerant ETL/ELT pipelines with scheduled synchronizations and automated error handling.

• Heavy Compute & Transformation: Utilize modern cloud compute engines (SQL, Python/PySpark, Databricks/Foundry-like environments) to cleanse, deduplicate, harmonize, and curate disparate raw data feeds into an authoritative single source of truth.
• Relational & Dimensional Modeling: Architect high-performance dimensional data models (Fact/Dimension tables, Star Schemas, 1:N and M:N relationships) within Microsoft Dataverse / relational stores optimized for downstream Power Apps and Power BI.
• API Integration & Egress: Build and sustain secure, automated system-to-system egress connections (REST API, OData endpoints, secure connectors) leveraging Service Principals, modern token authentication, and strict latency/uptime SLAs.
• Data Lineage & Quality Auditing: Implement programmatic validation routines and reconciliation scripts to audit source-versus-target records, ensuring minimal variance (