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Inspire11

AI-powered technology and analytics consulting

Data Architect

Data EngineeringConfirmed live in the last 24 hours
Full-timeUnited States$131k - $178.5k

About the Job

Requirements

  • At least 8 years of experience in data architecture, data engineering, or enterprise cloud platform design.
  • Advanced proficiency in SQL and Python, including hands-on experience building scalable ELT/ETL solutions.
  • Deep familiarity with cloud data platforms, including Fabric, Snowflake, Databricks, Redshift, Synapse, BigQuery, and related platforms.
  • Expertise in relational and dimensional/star-schema data modeling, metadata management, and performance optimization.
  • Strong understanding of DevOps and infrastructure as code, including Git, Terraform, CI/CD pipelines, and automated testing.
  • Working knowledge of AI and machine learning and the ability to identify where intelligent automation or predictive modeling can enhance architectural solutions.
  • Ability to explain complex technical designs to non-technical stakeholders.
  • Proven leadership in technical strategy, solution design, and team mentorship in a dynamic consulting environment.
  • Willingness and ability to work onsite at Inspire11 or client locations depending on project needs.

Responsibilities

  • Design and implement cloud-native data architectures across AWS, Azure, and GCP to support advanced analytics and AI solutions.
  • Lead the architecture of end-to-end ELT/ETL pipelines using SQL and Python, connecting structured and unstructured data sources into unified models.
  • Build and optimize enterprise data platforms, including data lakes, warehouses (Fabric, Databricks, Snowflake, Redshift, Synapse, BigQuery), and semantic and dimensional models.
  • Ensure data privacy, security, and compliance by incorporating masking, tokenization, retention policies, and metadata-driven governance frameworks.
  • Implement infrastructure as code, CI/CD pipelines, and testing frameworks to drive scalable, automated, and resilient deployments.
  • Conduct data profiling and validation, shaping architectural decisions based on source quality, lineage, and business context.
  • Translate business needs into scalable designs using source-to-target mappings, conceptual wireframes, and technical documentation.
  • Identify opportunities to integrate AI and machine learning, including intelligent data quality, metadata automation, and machine-learning feature stores.
  • Support client engagement and pre-sales by presenting architectural strategies, influencing decisions, and mentoring delivery teams.
  • Develop AI-powered solutions, including agentic solutions and large language model integrations, and help clients and teams navigate emerging AI capabilities.

About the Company

Inspire11

AI-powered technology and analytics consulting

Inspire11 is a modern business and technology consulting firm that uses Artificial Intelligence to drive innovation and transformation for clients. It helps organizations accelerate value by offering AI-focused services such as AI Talk and Ideation Workshops, scaling AI products, and integrating AI into existing systems. The company works by collaborating with client teams to brainstorm AI-driven concepts that align with business goals, then deploys and scales those solutions so they deliver measurable results, often within the first week of engagement. What sets Inspire11 apart is its client-centric, outcomes-based approach, pairing top talent with advanced AI capabilities to tackle complex challenges in a simple, sustainable way and to deliver rapid, tangible value. The company's goal is to help clients achieve business agility and iterative value through disruptive yet practical AI-enabled transformations.

Company size
201-500
Company stage
Private
Total funding
Not listed
Headquarters
Chicago, IL
Founded
2016

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