Data Consultant

Location:

Charlotte, NC

Salary Range:

Competitive, based on experience

Introduction

The company is seeking a highly skilled professional to lead the development and execution of a robust data strategy. This role will involve working with cutting-edge technologies and collaborating with various teams to drive data-driven decision-making and innovation.

Required Skills & Qualifications

• 10 years in data engineering/architecture across cloud or hybrid environments, with measurable impact on modernization, scalability, and cost optimization.
• Hands-on expertise with cloud-native Lakehouse platforms (Databricks, Snowflake), streaming (Kafka), ETL/ELT (Informatica), BI (MicroStrategy, Tableau, ThoughtSpot), and relational databases.
• Programming proficiency in Python and SQL for data engineering, automation, and AI/ML pipelines.
• Strong understanding of AI/ML concepts, platform choices, model lifecycle/MLOps, and integration into enterprise data platforms.
• Knowledge of metadata, lineage, data quality, and governance tooling (Collibra DQ, SALT, Informatica EDC).

Preferred Skills & Qualifications

• Experience in financial services or other regulated industries.
• Cloud certifications: AWS, Azure, GCP.
• Vendor certifications: Databricks, Snowflake, Oracle.
• AI/ML certifications (e.g., AWS ML Specialty, Azure AI Engineer, Google Professional ML Engineer).
• Demonstrated FinOps and cloud cost optimization strategies for data platforms.
• Prior work experience at client or in client's Industry
• Applicants must be able to work directly for Artech on W2

Day-to-Day Responsibilities

• Define a multi-year data platform strategy and roadmap, balancing short-term delivery with long-term modernization.
• Monitor and assess new technologies for data and analytics, advising on platforms, MLOps, and integration patterns.
• Sponsor proofs of concept with delivery teams; set success criteria and engineering standards.
• Drive migration from legacy warehouses to cloud-ready Lakehouse platforms with secure, cost-efficient services.
• Provide expertise in relational/NoSQL databases, open table formats, streaming, and event-driven architectures.
• Align with enterprise data strategy, governance, and approved tools, embedding responsible AI and model risk controls.
• Lead data literacy programs, training, and communities of practice to foster adoption of AI and modern engineering.
• Serve as a trusted advisor to business, tech, and compliance teams, communicating strategic impact and cost/benefit.

Company Benefits & Culture

• Comprehensive health, dental, and vision insurance plans.
• Flexible work arrangements and remote work options.
• Opportunities for professional development and growth.

For immediate consideration please click APPLY to begin the screening process