Principal Consultant - Data & AI Engineering

gotorq; Plano (TX); Hybrid; USD 150,000 - 210,000; Full time

Benefits offered by this job

Unlimited PTO

Best-in-class health benefits

Generous 401K plan

Hybrid schedule

Job summary

Torq is seeking a senior data/AI solutions architect to lead the design and deployment of data platforms, pipelines, and analytics applications. This role requires hands-on leadership to translate complex problems into scalable, production-ready solutions.

You will partner with clients to convert business needs into data products, build pipelines (batch and real-time), and orchestrate APIs, automation, and AI-enabled workflows in cloud environments.

Qualifications

• 8+ years of hands-on experience building data, analytics, or AI-enabled solutions.
• Bachelor's degree in Data Science, Computer Science, Information Systems, Engineering, or a related field
• Willingness to work a hybrid schedule (2-3 days per-week onsite)
• Strong proficiency in Python and SQL, with experience building scalable, production-ready solutions.
• Experience acquiring and integrating data from APIs, flat files, databases, and event streams.
• Hands-on experience with data pipelines, ETL/ELT, automation, data quality, and performance optimization.
• Tools may include Python, SQL, Apache Airflow, dbt, Kafka, Terraform, or similar technologies.
• Strong understanding of data architecture, schema design, and modern data platform patterns.
• Cloud platforms may include Azure, AWS, or Google Cloud.
• Data Platforms may include Databricks, Microsoft Fabric/Synapse, Snowflake, BigQuery, Redshift, or similar technologies.
• Experience building solutions beyond the data layer, including analytics, semantic models, APIs, applications, automation, or AI-enabled experiences.
• Familiarity with BI and analytics platforms such as Power BI, Tableau, Looker, or similar tools.
• Understanding of data governance, security, lineage and compliance best practices using platforms such as Informatica, Collibra, Unity Catalog, or Purview.
• Understanding of data governance, security, lineage, and compliance best practices using platforms such as Purview, Unity Catalog, or Collibra.
• Strong communication skills and the ability to collaborate with both technical and non-technical stakeholders

Responsibilities

• Partner with clients to translate business needs into scalable data, analytics, and AI solutions.
• Design and build modern data pipelines, integrations, and models across batch, real-time, and cloud-based environments.
• Develop end-to-end data products, from ingestion and transformation through semantic models, analytics, and intelligent applications.
• Build and integrate APIs, automation, and AI-enabled workflows that extend how clients access and use data.
• Design scalable architecture across modern data platforms, warehouses, lakehouses, and analytical applications.
• Define and implement KPIs, data quality checks, and observability measures to ensure solutions are trusted and performant.
• Apply software engineering best practices, including clean code, testing, code reviews, CI/CD, and documentation.
• Establish data definitions, metadata, lineage, and governance practices that support scalable, enterprise-grade solutions.
• Support the deployment, adoption, and ongoing evolution of data and AI solutions in production environments.

Skills

Python

SQL

Data modeling

Communication

BI & analytics

Problem solving

Education

Bachelor's degree in Data Science, CS, IS, or Engineering

Tools

Apache Airflow

dbt

Kafka

Terraform

Power BI

Tableau

Looker

Databricks

Snowflake

BigQuery

Job description

Are you driven by the challenge of turning complex data into actionable insights? Do you thrive on building scalable data systems that power better decisions and real business impact? If you're ready to lead with purpose and bring data to life, Torq is the place for you.

We are looking for technical builders who can turn ambiguous business problems into working data, AI and analytics solutions. We need individuals who can engineer pipelines, build data models, develop analytics applications, implement AI-enabled workflows, and architect modern data platforms - often within the same engagement.

At Torq, you'll join a collaborative team that takes on complex, high-impact projects. You'll guide clients through the full data lifecycle, from raw ingestion and engineering through analytics, intelligent applications, and AI-enabled solutions, helping them unlock the full potential of their data ecosystem.

What You Could Be Doing

• Partner with clients and data consumers to translate business needs into scalable data, analytics, and AI solutions.
• Design and build modern data pipelines, integrations, and models across batch, real-time, and cloud-based environments.
• Develop end-to-end data products, from ingestion and transformation through semantic models, analytics, and intelligent applications.
• Build and integrate APIs, automation, and AI-enabled workflows that extend how clients access and use data.
• Design scalable architecture across modern data platforms, warehouses, lakehouses, and analytical applications.
• Define and implement KPIs, data quality checks, and observability measures to ensure solutions are trusted and performant.
• Apply software engineering best practices, including clean code, testing, code reviews, CI/CD, and documentation.
• Establish data definitions, metadata, lineage, and governance practices that support scalable, enterprise-grade solutions.
• Support the deployment, adoption, and ongoing evolution of data and AI solutions in production environments.

What You Bring to the Table

• 8+ years of hands-on experience building data, analytics, or AI-enabled solutions.
• Bachelor's degree in Data Science, Computer Science, Information Systems, Engineering, or a related field
• Willingness to work a hybrid schedule (2-3 days per-week onsite)
• Strong proficiency in Python and SQL, with experience building scalable, production-ready solutions.
• Experience acquiring and integrating data from APIs, flat files, databases, and event streams.
• Hands-on experience with data pipelines, ETL/ELT, automation, data quality, and performance optimization.
• Tools may include Python, SQL, Apache Airflow, dbt, Kafka, Terraform, or similar technologies.
• Strong understanding of data architecture, schema design, and modern data platform patterns.
• Cloud platforms may include Azure, AWS, or Google Cloud.
• Data Platforms may include Databricks, Microsoft Fabric/Synapse, Snowflake, BigQuery, Redshift, or similar technologies.
• Experience building solutions beyond the data layer, including analytics, semantic models, APIs, applications, automation, or AI-enabled experiences.
• Familiarity with BI and analytics platforms such as Power BI, Tableau, Looker, or similar tools.
• Understanding of data governance, security, lineage and compliance best practices using platforms such as Informatica, Collibra, Unity Catalog, or Purview.
• Understanding of data governance, security, lineage, and compliance best practices using platforms such as Purview, Unity Catalog, or Collibra.
• Strong communication skills and the ability to collaborate with both technical and non-technical stakeholders

Additional Skills We Value

• CI/CD and modern software engineering practices using tools such as GitHub Actions, Azure DevOps, or Jenkins.
• Lakehouse, Data Mesh, and Data Product architecture patterns.
• Building analytics applications, data products, APIs, or custom user experiences.
• Experience with AI-assisted development, LLMs, agents, or other applied AI technologies.
• Experience rapidly prototyping and taking solutions from concept through production.

Benefits and Other Fun Stuff

• Competitive Salary - your bank account will be smiling
• Unlimited PTO - we're serious about that work-life balance thing
• Best-in-class health/vision/dental benefits - your health is our priority
• Generous 401K o