Data Architect
4 semanas atrás
We're seeking a talented Data Architect to join our team at Kimberly-Clark. As a key member of our data engineering team, you'll be responsible for designing and implementing large-scale data solutions on cloud platforms. Your expertise in data modeling principles, data warehousing, and cloud data services will enable us to deliver better care for billions of people around the world.
Main Responsibilities
- Design and operationalize enterprise data solutions on Cloud Platforms: Develop and implement scalable and secure data solutions on cloud platforms, ensuring they meet enterprise standards and requirements.
- Integrate Azure services, Snowflake technology, and other third-party data technologies: Seamlessly integrate various data technologies, including Azure services, Snowflake, and other third-party tools, to create a cohesive data ecosystem.
- Build and maintain high-quality data pipelines for analytic solutions: Develop robust data pipelines that automate the extraction, transformation, and loading (ETL) of data from various sources into a centralized data warehouse or lake.
- Collaborate with a multidisciplinary agile team to generate insights from connected data: Work closely with data scientists, analysts, and other team members in an agile environment to translate business requirements into technical solutions.
- Manage and create data inventories for analytics and APIs to be consumed: Develop and maintain comprehensive data inventories that catalog available data assets and their metadata.
- Design data integrations with internal and external products: Architect and implement data integration solutions that enable seamless data exchange between internal systems and external partners or products.
- Build data visualizations to support analytic insights: Create intuitive and insightful data visualizations using tools like Power BI to help stakeholders understand complex data sets and derive actionable insights.
About You
We're looking for a highly skilled and experienced data professional who can bring their expertise to our team. You'll have a strong background in data engineering, data architecture, and cloud data services, with a proven track record of designing and implementing large-scale data solutions. You'll be a collaborative team player who can work effectively with cross-functional teams to deliver business outcomes.
Key Qualifications and Experiences
- Bachelor's Degree in Management Information Systems/Technology, Computer Science, Engineering, or related discipline. MBA or equivalent is preferred.
- Minimum 7+ years of experience in designing large-scale data solutions, performing design assessments, crafting design options and analysis, finalizing preferred solution choice working with IT and Business stakeholders.
- 7+ years of data engineering or design experience, designing, developing, and deploying scalable enterprise data analytics solutions from source system through ingestion and reporting.
- Expertise in data modeling principles/methods including, Conceptual, Logical & Physical Data Models for data warehouses, data lakes and/or database management systems.
- 5+ years of experience tailoring, configuring, and crafting solutions within the Snowflake environment, including a profound grasp of Snowflake's data warehousing capabilities, data architecture, SQL optimization for Snowflake, and leveraging Snowflake's unique features such as Snowpipe, Streams, and Tasks for real-time data processing and analytics.
- 1-3+ years demonstrated expertise in architecting solutions within the Snowflake ecosystem, adhering to best practices in data architecture and design patterns.
- 5+ years of hands-on experience designing, building, and operationalizing data solutions and applications using cloud data and analytics services in combination with 3rd parties.
- 7+ years of hands-on relational, dimensional, and/or analytic experience (using RDBMS, dimensional, NoSQL data platform technologies, and ETL and data ingestion protocols).
- 7+ years of experience with database development and scripting.
- Expertise in Amazon Marketing Cloud (AMC) integration and data analysis for marketing insights and campaign performance tracking.
Total Benefits
At Kimberly-Clark, we offer a comprehensive benefits package that includes medical, dental, and vision coverage options, flexible savings and spending accounts, diverse income protection insurance options, and additional programs and support to continue your education, adopt a child, relocate, or even find temporary childcare. We're committed to supporting your overall well-being and career development.
To Be Considered
Click the Apply button and complete the online application process. A member of our recruiting team will review your application and follow up if you seem like a great fit for this role. We're an equal opportunity employer and welcome applications from diverse candidates who share our passion for delivering better care for a better world.
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