Data Architect

About Us:

Magna Legal Services provides end-to-end legal support services to law firms, corporations, and governmental agencies throughout the nation. As an end-to-end service provider, we can provide strategic advantages to our clients by offering legal support services at every stage of their legal proceedings.

Job Description:

Job Title: Data Architect

Position Summary:

Magna Legal Services is seeking a Data Architect to join our team! The Data Architect is a critical leader within Magna’s growing Data Engineering team. This role owns the design, governance, and evolution of the company’s data ecosystem.

You will design scalable data models, pipelines, and storage frameworks; ensure data quality and accessibility; and partner closely with analytics, automation, and AI teams to enable reliable, high-value data products. The ideal candidate has deep hands-on experience building enterprise data platforms and a passion for transforming data into an engine for business growth.

Key Responsibilities:

• Enterprise Data Architecture
  • Design and maintain a scalable, secure, and efficient enterprise data architecture across Azure Data Services, Snowflake, and integrated systems.
  • Define best practices for data modeling, warehousing, governance, and metadata management.
  • Establish architectural standards for data ingestion, transformation, storage, and access.
• Data Engineering & Platform Ownership
  • Architect and optimize ELT/ETL pipelines to support analytics, automation, and AI-driven workflows.
  • Work with Data Engineers to develop reusable frameworks, templates, and automation around ingestion, transformation, and quality checks.
  • Implement data performance tuning, partitioning, clustering, and cost optimization strategies.
• Cross-Functional Collaboration
  • Work closely with BI analysts to deliver reliable, well-structured datasets for dashboards, reporting, and analytics projects.
  • Partner with Automation Engineers to provide clean, accessible data for enterprise workflow automation.
  • Collaborate with AI Engineers and the AI Architect to supply high-quality data for model training, feature engineering, and production inference.
  • Engage business stakeholders to understand requirements and translate them into scalable data solutions.
• Data Governance & Quality
  • Implement and enforce data governance frameworks, including data lineage, cataloging, and stewardship.
  • Ensure data accuracy, completeness, and consistency across systems.
  • Establish standards for data security, access control, and compliance—especially when working with legal, medical, and sensitive client information.
• Innovation & Modernization
  • Evaluate and implement new data tools, technologies, and architectural patterns (e.g., medallion architecture, data fabric, data mesh concepts).
  • Support Magna’s transformation into a data-driven company by championing best practices and enabling self-service analytics.
  • Stay current with advancements in Azure, Snowflake, and data engineering technologies to guide modernization efforts.

Qualifications:

• 7+ years of experience in data engineering, data architecture, or related technical roles.
• Strong expertise with Azure Data Services (Azure Data Factory, Azure SQL, Azure Databricks, Azure Functions, etc.) and Snowflake.
• Hands-on experience designing enterprise data warehouses, data lakes, data lakehouses, or hybrid architectures.
• Proficiency with SQL and at least one scripting language such as Python.
• Deep understanding of ETL/ELT frameworks, orchestration, and data modeling techniques (Kimball, Data Vault, etc.).
• Knowledge of data governance, privacy, and compliance requirements.
• Proven ability to collaborate across engineering, analytics, and business teams.

Preferred Qualifications:

• Experience supporting AI/ML workflows, including data preparation, feature stores, and model data pipelines.
• Background in legal tech, medical data, insurance, or other regulated data environments.
• Familiarity with BI platforms and self-service data models.
• Understanding of RPA, workflow automation, or event-driven architectures.
• Experience designing high-volume data ingestion for unstructured documents (PDFs, transcripts, medical records, etc.)

What We Offer:

• A pivotal role shaping the core data architecture for Magna’s next generation of analytics and AI products.
• Collaboration with a talented cross-functional team spanning data engineers, AI engineers, automation engineers, and business experts.
• A high-impact environment where data is central to strategy and innovation.
• Competitive compensation, benefits, and opportunities for technical leadership.

Compensation: USD $150,000 - $180,000 per year

An employee’s pay position within the salary range will be based on several factors including, but not limited to, relevant education, qualifications, certifications, experience, skills, seniority, geographic location, performance, travel requirements, revenue-based metrics, any contractual agreements, and business or organizational needs. The range listed is just one component of the total compensation package for employees.

Magna Legal Services provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.