Senior Data Engineer / Data Architect | Hybrid | Camp Murray, WA | Contingent

Ares Enterprise; Northern (KY); Hybrid; USD 120,000 - 180,000; Full time

Job summary

Ares Enterprise in the United States is seeking a Senior Data Engineer/Data Architect to lead backend transformation, pipeline engineering, and relational architecture connecting large-scale enterprise platforms to a centralized Dataverse/Azure environment.

You will build a high-performance data backbone for real-time apps and dashboards, handle heavy compute transformations, and ensure data quality, security, and RBAC across the stack.

Qualifications

• 3+ years in enterprise data engineering or cloud data architecture.
• Experience with modern cloud data ecosystems (Databricks, Snowflake, Palantir Foundry, AWS, Azure).
• Strong SQL and Python/PySpark skills.
• Design dimensional models, star schemas, ERDs for BI and apps.
• Build secure API data egress via REST/OData with OAuth.
• RBAC, RLS, and data masking for PII/PHI.
• U.S. Citizenship and DoD CAC clearance eligibility.

Responsibilities

• Map raw enterprise data sources; design, deploy, maintain fault-tolerant ETL/ELT pipelines.
• Transform data with SQL/Python to a single source of truth.
• Architect dimensional models for Power Apps and Power BI.
• Develop secure API egress connections (REST/OData) with tokens.
• Ensure data lineage, quality checks, and comprehensive docs.
• Enforce RBAC/RLS and data masking for sensitive data.
• Collaborate with governance, engineering, and frontend teams.

Skills

SQL

Python

Databricks

Snowflake

Data Modeling

ETL/ELT

RBAC

API Integration

Security Governance

Education

Bachelor's degree in CS/IS/SE

Tools

Databricks

Dataverse

Power Platform

OData

OAuth/Entra ID

Job description

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 (<0.1%) and zero silent record drops. Maintain comprehensive documentation, including Data Dictionaries, ERDs, and version-controlled transformation lineage.
• Security & Access Architecture: Design and enforce enterprise-grade Role-Based Access Control (RBAC), Row-Level Security (RLS), Field-Level Security, and automated data masking/hashing for sensitive data (PII/PHI).
• Stakeholder Collaboration: Coordinate with data governance bodies, cross-functional engineering teams, and frontend developers to align data ontologies, review schemas, and resolve technical blockers.

Location, Schedule & Logistics

• Location: Camp Murray, WA (Hybrid: ~75% telework / remote, ~25% on-site).
• Schedule: Monday - Friday, 06:00 AM - 2:30 PM Pacific Time.
• Environment: Remote work performed via secure Azure Virtual Desktop (AVD); company/contractor-provided hardware with government-issued smart card (CAC) access.

Requirements

Basic Qualifications

• Experience: Minimum of 3+ years of hands-on enterprise data engineering, cloud data architecture, or relational database systems design.
• Enterprise Data Platform Proficiency: Proven experience developing pipelines and transformations on modern cloud data ecosystems such as Databricks, Snowflake, Palantir Foundry, AWS (Glue, EMR, Redshift), or Microsoft Azure (Synapse, Data Factory, Fabric).
• Advanced Querying & Scripting: Strong proficiency in SQL and procedural data transformation languages (Python, PySpark, or equivalent).
• Data Modeling & Architecture: Demonstrated experience building dimensional models, Star Schemas, and Entity-Relationship Diagrams (ERDs) for relational repositories and downstream business intelligence tools.
• API & Systems Integration: Experience engineering automated data egress pipelines via REST APIs, OData feeds, or webhooks using Service Principals and OAuth/Entra ID authentication.
• Data Governance & Security: Practical working knowledge of Row-Level Security (RLS), Role-Based Access Control (RBAC), and automated data de-identification / masking for sensitive information (PII/PHI).
• Clearance / Citizenship: U.S. Citizenship required. Must be eligible to obtain and maintain a favorable Federal Tier 1 (T1 / NACI) suitability background check and DoD Common Access Card (CAC).

Preferred Qualifications

• Hands-on architecture experience with Microsoft Dataverse / Power Platform backend environments or Common Data Model (CDM).
• Familiarity with DoD/federal cloud security frameworks (e.g., IL4/IL5 boundaries, CDAO guidelines) or enterprise platforms (Advana, Army Vantage)
• DoD Cyber Workforce / 8140 qualification or industry-standard certifications (e.g., Databricks Certified Data Engineer, Snowflake SnowPro Core, Microsoft Azure Data Engineer Associate, AWS Certified Data Engineer, CompTIA Security+).
• Bachelor's degree in Computer Science, Information Systems, Software Engineering, or a related quantitative field (or equivalent practical experience).