Data Platform Architect
hace 2 semanas
About the Role
MX003 Marsh And Mclennan Servicios S.A. De Cv is seeking a highly skilled Data Platform Architect to join our team in CDMX office, working onsite 3 days a week.
We are looking for an experienced Mid-Level Cloud Data Engineer with expertise in data administration, development, and implementation of large-scale projects in hybrid data platforms (on-prem and cloud both).
What We Offer
A company with a strong brand and results to match
Culture of internal mobility, collaboration, and valued partnership from the business
Employee Resource Groups providing access to leaders, volunteer opportunities, and interactions with industry groups and client organizations
Vacation time, floating holidays, time off to give back to your community, sick days, national holidays (with early dismissal)
Key Responsibilities
- Oversee the design, implementation, and maintenance of the data platform built on Kubernetes, AWS services, and other SAAS solutions
- Collaborate with projects' business teams to understand requirements, technical needs, and help design their architecture using data tools aligning with MMC's technology standards and security
- Onboard new technologies onto the platform, ensuring smooth operations through regular maintenance, governance, and guideline definition
- Guide developers to optimize ETL processing job performance
- Work with analytics and business teams to suggest and improve the data platform supporting business intelligence tools, increasing data accessibility, and fostering data-driven decision-making
- Collaborate with stakeholders like MMC infra, MMC security, MMC architecture teams to achieve high availability and scalability over the data platform
- Implement latest technologies, troubleshoot incidents, identify root causes, fix, document problems, and implement preventive measures
- Set up process guidance and documentation necessary to share best practices guidelines for others to follow
- Participate in cost estimations during budget cycles
- Empower development teams to deliver architectural designs
Requirements
- Bachelor's or Master's degree in Computer Science, Engineering, or related field
- Extensive experience in data engineering roles with a focus on building and managing data platforms
- Exposure to Big Data / Data Lake frameworks like Spark, Python, R, NiFi, AWS S3, Redshift, Glue, Athena etc and tools like Databricks, IDMC, Snowflake, MongoDB
- Understanding of BI Tools like PowerBI, Qlik is an added advantage
- Excellent communication and collaboration skills with the ability to work effectively with cross-functional teams
- Ability to design and architect solutions when provided with business requirements
- Self-motivated to excel in a remote position collaborating effectively with a remote team
- An inquisitive mindset with a track record of seeking out and implementing new technologies and architectural patterns
Salary Information
$120,000 - $180,000 per year, depending on experience and qualifications.
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