This is where your work makes a difference.At Baxter, we believe every person-regardless of who they are or where they are from-deserves a chance to live a healthy life.
It was our founding belief in **** and continues to be our guiding principle.
We are redefining healthcare delivery to make a greater impact today, tomorrow, and beyond.Our Baxter colleagues are united by our Mission to Save and Sustain Lives.
Together, our community is driven by a culture of courage, trust, and collaboration.
Every individual is empowered to take ownership and make a meaningful impact.
We strive for efficient and effective operations, and we hold each other accountable for delivering exceptional results.Here, you will find more than just a job-you will find purpose and pride.Summary:This section focuses on the main purpose of the job in one to four sentences.The Data Analytics Platform Architect is responsible for building foundational data infrastructure essential to supporting data ingestion, data sourcing from distributed systems to data management.
This role requires understanding the needs of today's enterprises engaged in digital transformation efforts.
This role requires a mix of technical acumen and team collaboration skills to drive administration, management, and support of the platform.Essential Duties and Responsibilities:This section contains a list of five to eight primary responsibilities of this role that account for 5% or more of the work.
The incumbent will perform other duties assigned.What you'll be doing:Design and build real-time analytics solutions using industry standard technologies, work with solution architects to align solutions with technology direction.Keep everyone from individual contributors to top executives in the loop about progress,



communicating across organizations and levels.Monitor data, resources, and applications to review and evaluate the health and performance of the data analytics platformParticipate in implementation of scalable, extensible, and highly available platforms capable of processing large volume data sets that enables actionable insightsCollaborate with infrastructure teams, data engineering, analysts, and operations teams to identify requirements that will derive the creation of smart platform to build and execute data pipelinesResponsible for crafting, building, integrating, and maintaining analytics data platform on hybrid cloud infrastructure.Enable continued innovation and progress within the platform through research and developmentBuild self-serve and one touch tooling capabilities to the analytics platformCollaborate with infrastructure teams and be an influencer in their decision makingWork collaboratively with data operations team to develop monitoring and alerting on data platforms and servicesProactively manage platform costs by tracking resource consumption and manage spend across hybrid cloud environmentsWork with internal and external auditors on platform audits and related corporate security initiativesStrong communication and collaboration skillsWhat you'll bring:Understanding of complete data analytics stack and workflow,



from ETL to data platform design to BI and analytics toolExperience in programming and building large scale data/analytics solutionsExtensive hands-on expertise with SQL and SQL analyticsKnowledge of and experience with large-scale database technology (e.G., Snowflake, Exadata, AWS EMR, Hadoop etc.)Experience building data pipelines and SQL for Snowflake and general understanding of the Snowflake database architectureExperience with Snowpipe for Snowflake data ingestion is a plusAbility to design and implement effective analytics solutions and models with SnowflakeExperience working with SQL and common programming languages, like PythonExperience with non-relational platforms and tools for large-scale data processingFamiliarity and experience with common BI and data exploration tools (e.G., Cognos, Tableau)Experience and understanding of large-scale infrastructure-as-a-service platforms (e.G., Amazon AWS, Microsoft Azure)Experience using AWS services such as S3, Kinesis, Elastic MapReduce, Data pipelineShould have worked on Agile scrum or Kanban methodologyStrong communication and collaboration skillsQualifications:To perform this job successfully, an individual must be able to perform each essential duty satisfactorily.
List knowledge, skills, and/or abilities required.
Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.5+ years of IaC, Data Platform, Data Engineering, AWS experience & delivering BI and analytics solutions7+ years of IT industry experience5+ years of experience & proficiency with Python, Shell Scripting5+ years of hands-on experience with Snowflake platform implementation, administration, and optimization.Experience in AWS services like IAM, S3, KMS, Cloudformation, EKSExperience in Terraform, git, JIRAStrong knowledge of SQL, understand#J-*****-Ljbffr

📌 Consultant, It-Data Platform Management (Snowflake) (Jalisco)
🏢 Baxter
📍 Jalisco