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$56.5K

$117.5K

How much do thought logic consulting jobs pay per year?

As of Sep 15, 2026, the average yearly pay for thought logic consulting in the United States is $113,919.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,500.00 and $116,500.00 per year, depending on experience, location, and employer.

What is Thought Logic Consulting?

Thought Logic Consulting is a management consulting firm that helps organizations improve their business performance through strategy, operations, and technology solutions. They work with clients across various industries to solve complex business challenges, drive transformation, and deliver measurable results. Thought Logic Consulting is known for its collaborative approach, experienced consultants, and focus on delivering customized solutions that align with clients' unique goals.

What types of projects do consultants at Thought Logic Consulting typically work on, and how do these projects influence daily responsibilities?

Consultants at Thought Logic Consulting often engage in projects focused on business transformation, process improvement, and strategy development across various industries. Daily responsibilities may include conducting client interviews, analyzing data, facilitating workshops, and preparing deliverables such as presentations and reports. Since assignments are typically team-based, consultants collaborate closely with both internal colleagues and client stakeholders. This project-based structure offers exposure to diverse challenges and industries, fostering rapid skill development and providing opportunities for career advancement within the firm.

What key skills and qualifications are needed to thrive as a management consultant at Thought Logic Consulting, and why are they important?

To thrive as a management consultant at Thought Logic Consulting, you need strong analytical abilities, business acumen, and a relevant degree (often in business, finance, or a related field). Familiarity with business intelligence tools, project management software, and data analysis platforms is typically required, along with certifications like PMP or Lean Six Sigma being advantageous. Exceptional communication, problem-solving, and interpersonal skills distinguish top performers in this role. These skills and qualifications are essential for delivering actionable insights, fostering client relationships, and driving successful project outcomes.

What is the difference between Thought Logic Consulting vs Business Analyst?

AspectThought Logic ConsultingBusiness Analyst
Required CredentialsBachelor's degree, consulting experience, analytical skillsBachelor's degree, often in business, finance, or related fields
Work EnvironmentConsulting firms, client sites, project-basedCorporate offices, project teams, cross-functional departments
Industry UsageManagement consulting, strategy, technologyBusiness operations, IT, finance, healthcare
Common Search/ComparisonThought Logic Consulting vs Business Analyst

Thought Logic Consulting and Business Analysts both require analytical skills and relevant degrees. However, Thought Logic Consulting typically involves project-based work within consulting firms and diverse industries, focusing on strategic solutions. Business Analysts often work within organizations to improve processes and systems, primarily in corporate settings. The roles overlap in analytical skills but differ in scope, environment, and industry focus.

What does Thought Logic Consulting do?

Thought Logic Consulting is a consulting firm that provides strategic advice and solutions to businesses to improve operations, technology, and management. Employees in this field often analyze client needs, develop tailored plans, and utilize tools like data analysis and project management software. The role may require strong problem-solving skills and relevant certifications or experience in consulting or related industries.
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Infographic showing various Thought Logic Consulting job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 65% Full Time, 31% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $113,919 per year, or $54.8 per hour.

Managing Consultant, Databricks Engineer - Richmond

Richmond, VA • On-site

Thought Logic Consulting
11 - 50 employees

Other

This job post has expired today. Applications are no longer accepted.


Job description

Managing Consultant, Databricks Engineer - Richmond

Department: Data Analytics

Employment Type: Full Time

Location: Richmond

Description

Thought Logic Consulting is a functionally-led, digitally enabled consultancy that exists at the intersection of business transformation and technology innovation. We partner with clients to solve their most complex business problems through a combination of deep functional expertise, modern technology, and practical execution. Our highly collaborative, local-market approach gives clients senior-level attention while giving our consultants room to grow, lead, and build.

***Candidates must currently reside in or live within a commutable distance to the Richmond area ****

The Role

We are looking for a technically skilled and motivated Databricks Engineer with 7+ years of experience and strong hands-on Databricks expertise to join our growing Data & Analytics team.

What You'll Do
  • Design and build scalable data engineering solutions using Databricks Lakehouse, including Delta Lake, Unity Catalog, Delta Live Tables/Lakeflow Declarative Pipelines, Delta Sharing, and Uniform (Iceberg) where appropriate.
  • Develop and optimize batch, micro-batch, and streaming data pipelines using Auto Loader, Apache Spark, PySpark, SQL, and Python.
  • Build robust ETL/ELT processes, data models, and orchestration workflows using Databricks Jobs/Workflows, Airflow, dbt, and modern data engineering patterns.
  • Implement data quality, observability, governance, auditability, and performance optimization capabilities across enterprise data platforms.
  • Establish modern CI/CD and DevOps practices for data engineering, including Databricks Asset Bundles, automated testing, deployment automation, and Infrastructure as Code with tools such as Terraform.
Who You'll Work With
  • Experienced consultants, architects, and engineers focused on solving complex business and technology challenges through data.
  • Clients across industries looking to modernize data platforms, improve data accessibility and quality, and create greater value from their data.
  • Cross-functional stakeholders across technology, analytics, business operations, and leadership, requiring both technical depth and strong communication.
  • A collaborative team that values curiosity, humility, technical excellence, hands-on problem-solving, and client impact.
What You’ll Bring
  • 7+ years of data engineering, analytics, or related technical experience, including at least 2 years of hands‑on Databricks engineering and strong experience with Lakehouse technologies.
  • Strong hands‑on skills with Databricks, Delta Lake, Unity Catalog, Lakeflow/Delta Live Tables, Apache Spark, PySpark, SQL, and Python, including scalable batch and streaming pipelines.
  • Experience with Databricks Workflows/Jobs, Auto Loader, Airflow, dbt, and/or similar orchestration and transformation technologies, plus experience with cloud data platforms such as Snowflake, Redshift, or BigQuery.
  • Understanding of enterprise data quality, governance, observability, auditability, performance optimization, CI/CD, and automated testing, with exposure to Databricks Asset Bundles and Terraform.
  • Strong consulting, communication, and problem‑solving skills, with the ability to work directly with technical and non-technical stakeholders and translate business requirements into practical data solutions.
Bonus Points if You Have
  • Databricks Data Engineer Associate or Professional certification and multiple Databricks project delivery experiences.
  • Experience with modern data and cloud technologies such as Snowflake, Redshift, BigQuery, Kafka, Amazon EMR, Docker, Kubernetes, or Terraform.
  • Experience implementing enterprise data quality and governance using Great Expectations, Collibra, dbt, or Databricks‑native capabilities.
  • Exposure to agentic AI and AI‑powered development tools, including LangGraph, autonomous agents, GitHub Copilot, Claude Code, Cursor, Windsurf, Codex, or similar technologies.
  • Previous consulting or client‑facing technical delivery experience, along with cloud or additional data engineering certifications.
Why Thought Logic
  • Work on transformations that matter, not slide decks that sit on shelves
  • Real responsibility and ownership over how work gets delivered and how clients experience us
  • Direct access to firm leadership and influence over how we grow and evolve
  • A culture that values depth over optics, outcomes over activity, and people over process
  • The chance to grow your career in a firm that’s scaling thoughtfully and intentionally, not just chasing growth for growth’s sake
  • The opportunity to flex in a continuous learner environment. Get access and exposure to the latest tools, technologies and trends in the AI space
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