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Cuesta Partners

Technology strategy consultancy delivering business value

Data Technical Lead

Data EngineeringConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • A Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
  • Eight to ten years of experience as a Data Engineer or in a similar role, with a strong background in designing and implementing data solutions.
  • Proficiency in data modeling, extract, transform, and load (ETL) processes, and data integration.
  • Experience with data warehousing solutions, cloud platforms such as Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP), and tools such as SQL, Python, and Spark.
  • Strong leadership and team management skills, with the ability to inspire and guide a technical team.
  • Ability to balance technical requirements with business goals and client needs.

Responsibilities

  • Deliver end-to-end data solutions for client engagements, using modern technologies and best practices.
  • Acquire and transform datasets; ensure data models are reusable, data pipelines are scalable, and data visualizations are impactful.
  • Choose, develop, and optimize data technology environments and ensure development follows standards, specifications, controls, audits, and procedures supporting data integrity, quality, accuracy, usefulness, and timeliness.
  • Provide subject-matter expertise in data engineering, including guidance and hands-on support to resolve technical challenges and optimize performance.
  • Lead architectural discussions and advise on design decisions and trade-offs.
  • Establish AI-augmented development practices by structuring and tooling projects for effective use of coding agents, and coach the team in these practices.
  • Plan, execute, and deliver client-facing and internal data projects in line with timelines, scope, and quality standards.
  • Collaborate with data scientists, analysts, business stakeholders, and clients to understand data requirements and design appropriate architectures and scalable solutions.
  • Collaborate with the Team Lead to define the Data Team's technology strategy and roadmap.
  • Promote a collaborative and inclusive team culture, knowledge sharing, and continuous learning.
  • Identify opportunities to improve processes, tools, and methodologies to increase efficiency and innovation within the Data Team.

Desired Qualifications

  • Hands-on experience using AI-assisted development tools such as Cursor, Claude Code, or Codex in daily work, including building working prototypes, agentic pipelines, retrieval-augmented generation (RAG) systems, or large language model (LLM)-powered data and analytics products.
  • Experience with modern data platforms such as Databricks, Snowflake, and Microsoft Fabric.

About the Company

Cuesta Partners

Technology strategy consultancy delivering business value

Cuesta Partners helps organizational leaders leverage emerging digital solutions to create sustained, differentiated value across their business. The firm uses a pragmatic, hands-on approach to understand technology and translate it into concrete business results, scaling and operating technology solutions that deliver value across industries. What sets Cuesta apart is its emphasis on getting the details right, its operational discipline, and a culture that values collaboration, diversity, humility, and perseverance while challenging conventional thinking. The goal is to help companies capitalize on technology-driven competitive advantage and to build a workplace the team enjoys—efficient, supportive, and growth-oriented.

Company size
51-200
Company stage
Not listed
Total funding
Not listed
Headquarters
Chicago, IL
Founded
2019

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