NERA Economic Consulting

Lead Data Architect

Remote Mexico City, Mexico
Python SQL Azure API AWS
Description

Company:

Marsh

Description:

Lead Data Architect

We are seeking a Lead Data Architect to join our Applications Development team at Mercer. This role will be based in Mexico City. This is a hybrid role that has a requirement of working at least three days a week in the office. As a Lead Data Architect at Marsh, you will play a technical lead role in a team of data engineers to deliver data and analytics projects for the Wealth line of business. 

We will count on you to:

  • Design and Implement Best-in-Class Data Solutions: Conceptualize and execute a comprehensive and innovative data ingestion and processing framework that effectively supports our line of business.
  • Provide Technical Leadership: Lead the team in developing reusable and scalable data pipelines and new API integrations to accommodate the ongoing increases in data volume and complexity.
  • Collaborate with Source System Teams: Work closely with source system and application teams to integrate and establish data pipelines utilizing Databricks, S3, and other AWS services.
  • Understand the Data Landscape: Gain a deep understanding of the data landscape, including tooling, tech stack, and source systems, and collaborate with extended platform teams to enhance data collection, quality, reporting, and analytics capabilities.
  • Enhance Data Models: Partner with analytics and business teams to refine data models that feed business intelligence tools, improving data accessibility and promoting data-driven decision-making across the organization.
  • Exhibit Exceptional Problem-Solving Skills: Demonstrate strong problem-solving abilities, proactively identifying and addressing issues before they impact business productivity.

What you need to have:

  • Bachelor’s degree (or equivalent) in computer science, information technology, or mathematics
  • 3+ years of relevant Databricks, Data Ingestion/ETL/ELT, Big Data, and Data Visualizations experience.
  • Strong Python development and SQL experience
  • Experience with schema design and dimensional data modelling.
  • Experience working on AWS or Azure and related services (not limited to) such as Glue, Athena, S3.
  • Excellent written and verbal communication skills in English

What makes you stand out:

  • AWS Strong Business-oriented mindset.
  • Project Management Skills.
  • Innovation and Creativity seeker.
  • Experience in Databricks.

Why join our team:

  • We help you be your best through professional development opportunities, interesting work and supportive leaders.
  • We foster a vibrant and inclusive culture where you can work with talented colleagues to create new solutions and have impact for colleagues, clients and communities.
  • Our scale enables us to provide a range of career opportunities, as well as benefits and rewards to enhance your well-being.

Marsh McLennan (NYSE: MMC) is a global leader in risk, strategy and people, advising clients in 130 countries across four businesses: Marsh, Guy Carpenter, Mercer and Oliver Wyman. With annual revenue of $24 billion and more than 90,000 colleagues, Marsh McLennan helps build the confidence to thrive through the power of perspective. For more information, visit marshmclennan.com, or follow on LinkedIn and X.

Marsh McLennan is committed to creating a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age, background, disability, ethnic origin, family duties, gender orientation or expression, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, or any other characteristic protected by applicable law.

Marsh McLennan is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh McLennan colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one “anchor day” per week on which their full team will be together in person.

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