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West Monroe

Digital consulting for business transformation

Data Architect

Data EngineeringConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • A bachelor's or master's degree in Computer Science, Data Engineering, Information Systems, or a related field is required.
  • At least 10 years of experience in data engineering or architecture, including at least 3 years in a leadership role, is required.
  • A proven track record of architecting and delivering large-scale data solutions in cloud environments such as AWS, Azure, or GCP is required.
  • Expertise in data modeling, ETL processes, and data pipeline development is required.
  • Experience with Databricks, including Delta Lake and advanced Spark-based transformations, or Snowflake, including schema design, performance optimization, time travel, and zero-copy cloning, is preferred.
  • Proficiency in programming languages such as Python, SQL, Java, or Scala is required.
  • Experience with big data technologies such as Hadoop, Spark, or Kafka is required.
  • Hands-on experience with cloud-native data services such as AWS Redshift, Azure Synapse, or Google BigQuery is required.
  • A strong understanding of relational, NoSQL, and graph databases is required.
  • Familiarity with containerization and orchestration tools such as Docker and Kubernetes is required.
  • Exceptional ability to lead and mentor technical teams is required.
  • Strong communication and interpersonal skills to collaborate with diverse stakeholders are required.
  • Ability to manage competing priorities and deliver results under pressure is required.
  • Advanced analytical skills to solve complex technical and business problems are required.
  • Ability to translate technical concepts into business value for non-technical stakeholders is required.
  • Strong organizational and project management skills are required.
  • Ability to travel to client sites 30 to 50% is required.

Responsibilities

  • Collaborate with senior leadership and stakeholders to define data strategies and roadmaps aligned with business objectives.
  • Architect robust, scalable, and secure data solutions, including data pipelines, warehouses, lakes, and analytics platforms.
  • Establish and enforce data governance frameworks to ensure data quality, security, and compliance with industry standards and regulations.
  • Mentor and guide junior engineers, fostering continuous learning and innovation, and lead technical teams in delivering high-quality projects on time and within scope.
  • Evaluate and recommend tools, platforms, and frameworks to enhance data capabilities based on emerging technologies and trends.
  • Work with business analysts, data scientists, and software engineers to integrate data solutions into broader business applications.
  • Monitor and optimize data systems for performance, scalability, and cost efficiency.
  • Advise clients and provide thought leadership and technical expertise to solve complex data challenges.
  • Create and maintain technical documentation, including architecture diagrams, data models, and operational procedures.
  • Lead troubleshooting efforts for critical data issues, ensuring timely resolution and root cause analysis.
  • Identify opportunities to apply artificial intelligence, machine learning, and advanced analytics in data engineering solutions.

Desired Qualifications

  • Preferred certifications include Databricks Professional or Azure Data Engineer Associate.

About the Company

West Monroe

Digital consulting for business transformation

West Monroe provides digital consulting services that help organizations modernize operations by blending business acumen with technology expertise. Its teams work with clients across industries to develop and execute digital strategies, product engineering, cybersecurity, data analytics, and transformation programs. The firm differentiates itself by combining sector knowledge with technical delivery capabilities and by expanding digital product engineering through acquisitions like Verys. Its goal is to help mid-sized and large enterprises navigate digital change, improve efficiency, and realize measurable value from technology-enabled transformation.

Company size
1,001-5,000
Company stage
Seed
Total funding
Not listed
Headquarters
Seattle, WA
Founded
2002

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