Z

ZS

Global management consulting for sales optimization

Business Technology Solutions Consultant

Data EngineeringConfirmed live in the last 24 hours
Full-timeNo salary listed

About the Job

Requirements

  • A bachelor's or master's degree in Computer Science, Information Systems, or a related technical discipline.
  • Five to seven years of hands-on experience as a data engineer, including at least two years in a client-facing consulting or professional services environment.
  • Deep expertise in cloud data platforms such as AWS services (EMR, Glue, S3, Athena, Redshift, Lake Formation, Managed Airflow, and SageMaker), Azure services (ADF, Synapse, and ADLS), Databricks, or Snowflake.
  • Experience with data modeling, data warehousing concepts, and distributed computing frameworks such as Spark or PySpark.
  • Proficiency in Python and SQL, including designing solutions, performing in-depth data analysis, writing production-grade code, and conducting rigorous code reviews.
  • A track record designing and delivering end-to-end data engineering solutions at scale, including complex ETL/ELT pipelines, data warehouses, and lakehouse architectures.
  • Experience leading technical delivery teams, including project planning, effort estimation, work distribution, and progress tracking in an SDLC or Agile delivery setup.
  • Ability to interact directly with senior and mid-senior client stakeholders, present technical concepts clearly, and manage engagement delivery expectations.
  • Excellent written and verbal communication skills, with the ability to tailor messaging from engineering-level detail to business-understandable or executive summaries.
  • Ability to distill complex technical architectures into clear frameworks, diagrams, and presentations for diverse audiences.
  • Coaching, mentorship, and team-building capabilities, including developing mid-level engineers.
  • Comfort operating in a global, matrixed team environment across time zones.
  • Ability to manage a virtual global team for timely delivery of multiple projects.
  • Experience analyzing and troubleshooting interactions between databases, operating systems, and applications.
  • Fluency in English.
  • Candidates must possess or be able to obtain work authorization for their intended country of employment.
  • An online application including a full set of official or unofficial transcripts is required for consideration.

Responsibilities

  • Translate complex business requirements into actionable solution designs and technical architectures, owning the end-to-end solution from discovery through user acceptance testing and production launches.
  • Lead one or more concurrent projects as the primary technical delivery owner, partnering with the project manager on planning, staffing, risk identification, and milestone management.
  • Align cross-functional teams, including business analysts, architects, validation and testing teams, and engineering, on the technology stack and solution approach for each engagement.
  • Own the quality and completeness of key project deliverables, including business cases, solution vision and design documentation, technical architecture, test cases, deployment plans, and operations strategy.
  • Serve as the primary technical point of contact for client stakeholders by leading design reviews, status updates, brainstorming sessions, and innovation discussions.
  • Conduct regular design, code, and testing reviews to enforce best practices and ensure implementations meet quality, performance, and maintainability standards.
  • Mentor and develop associate consultants and engineers, setting technical direction, reviewing output, and fostering continuous improvement.
  • Drive adoption of coding practices, data quality frameworks, and validation approaches to ensure reliable and impactful business insights.
  • Build and deliver cloud-based data engineering solutions, including ETL/ELT pipelines, serverless architectures, real-time and batch analytics, and data lake and warehouse implementations.
  • Partner with senior leadership on business development activities, point-of-view development, and building firm intellectual capital on emerging technologies and business solution areas.
  • Lead structured and unstructured problem-solving exercises to design and optimize complex, high-performance solutions.
  • Ensure SDLC documentation is accurate, complete, and supports delivery teams and client governance requirements.
  • Travel to client sites and global offices as needed to collaborate with clients and internal project teams.

Desired Qualifications

  • Working knowledge of AI tools and platforms, such as AI-assisted development, large language model-based tooling, and integrating models into data pipelines.
  • Experience in the supply chain or manufacturing domain.
  • Hands-on AI engineering or agentic development experience, including large language model orchestration, retrieval-augmented generation pipelines, or AI agents.
  • Knowledge of graph databases such as Neo4j or AWS Neptune and RDF-based ontologies.

About the Company

ZS

Global management consulting for sales optimization

ZS Associates helps organizations optimize their sales and marketing operations through data-driven analytics. The company uses mathematical models and rigorous analysis—originating from Kellogg professors in the 1980s—to size and structure sales teams, design territories, forecast markets, manage data, and design incentive compensation. Its services are delivered as consulting engagements that translate complex analytics into practical business decisions, such as how many salespeople a company needs, how to assign territories, and how to align incentives to drive performance. ZS differentiates itself with a deep, methodical focus on analytics, built from decades of experience and applied across industries beyond its pharmaceutical roots. The company’s goal is to help clients improve performance and return on investment by turning data into actionable sales and marketing solutions.

Company size
10,001+
Company stage
Not listed
Total funding
Not listed
Headquarters
Evanston, IL
Founded
1983

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