consultant, IT-Data Platform Management (Snowflake)

Job description

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 1931 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 platform Participate in implementation of scalable, extensible, and highly available platforms capable of processing large volume data sets that enables actionable insights Collaborate 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 pipelines Responsible for crafting, building, integrating, and maintaining analytics data platform on hybrid cloud infrastructure Enable continued innovation and progress within the platform through research and development Build self-serve and one touch tooling capabilities to the analytics platform Collaborate with infrastructure teams and be an influencer in their decision making Work collaboratively with data operations team to develop monitoring and alerting on data platforms and services Proactively manage platform costs by tracking resource consumption and manage spend across hybrid cloud environments Work with internal and external auditors on platform audits and related corporate security initiatives What you’ll bring: Understanding of complete data analytics stack and workflow, from ETL to data platform design to BI and analytics tool Experience in programming and building large scale data/analytics solutions Extensive hands-on expertise with SQL and SQL analytics Knowledge 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 architecture Experience with Snowpipe for Snowflake data ingestion is a plus Ability to design and implement effective analytics solutions and models with Snowflake Experience working with SQL and common programming languages, like Python Experience with non-relational platforms and tools for large-scale data processing Familiarity 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 pipeline Should have worked on Agile scrum or Kanban methodology Strong communication and collaboration skills Qualifications: 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 solutions · 7+ years of IT industry experience · 5+ years of experience & proficiency with Python, Shell Scripting · 5+ years of hands-on experience with Snowflake platform implementation, administration, and optimization. · Experience in AWS services like IAM, S3, KMS, Cloudformation, EKS · Experience in Terraform, git, JIRA · Strong knowledge of SQL, understanding of subqueries, able to write SQL code sufficient for most business requirements for pulling data from sources, applying rules to the data, and stocking target data · Proven track record in troubleshooting data pipelines and addressing production issues like performance tuning, permission issues · Can create clear and concise documentation and communications · Can document technical specs from business communications · Ability to coordinate and aggressively follow up on incidents and problems, perform diagnosis, and provide resolution to minimize service interruption · Ability to prioritize and work on multiple tasks simultaneously · Effective in cross-functional and global environments to manage multiple tasks and assignments concurrently with effective communication skills · A self-starter who can work well independently and on team projects · Experienced in analyzing business requirements, defining the granularity, source to target mapping of the data elements, and full technical specification Education and/or Experience: Include the education and experience that is necessary to perform the job satisfactorily. · Bachelor of Science in Computer Science, Engineering, Mathematics, Information Systems, or related field, or equivalent experience · Certifications: o AWS Certified Solutions Architect o SnowPro Core Certification and/or or SnowPro Advanced Architect Certification o AWS Certified Data Analytics – Specialty and/or AWS Certified Solutions Architect o Oracle Certified Professional and/or Microsoft Certified Database Administrator Equal Employment Opportunity Baxter is an equal opportunity employer. Baxter evaluates qualified applicants without regard to race, color, religion, gender, national origin, age, sexual orientation, gender identity or expression, protected veteran status, disability/handicap status or any other legally protected characteristic. Reasonable Accommodations Baxter is committed to working with and providing reasonable accommodations to individuals with disabilities globally. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application or interview process, please click on the link here and let us know the nature of your request along with your contact information. Recruitment Fraud Notice Baxter has discovered incidents of employment scams, where fraudulent parties pose as Baxter employees, recruiters, or other agents, and engage with online job seekers in an attempt to steal personal and/or financial information. To learn how you can protect yourself, review our Recruitment Fraud Notice .