
Website Clorox
Job Description:
Clorox’s Enterprise Data Strategy and Operations team is seeking a talented Data Solutions Architect to work in our Data Engineering squad and lead the Data & Analytics pipeline work that will equip, enable and empower our business with high-value enterprise data assets.
Job Responsibilities:
- Provide data engineering and data analysis services to business functions to solve problems through the right data and insights
- Architect and design solutions for data engineering initiatives
- Serve as a subject matter expert for cloud data platforms and data services
- Help educate and train the junior data team to grow in their career
- Serve as delivery lead for a team of onsite/offshore data engineers and data analysts
- Play a key role in building out our enterprise cloud data platform through expert knowledge of cloud service offerings that fit into the Clorox’s Integrated Data Fabric roadmap
- Lead data engineering initiatives leveraging cloud services to automate data ingestion pipelines (batch and streaming) along with automated testing, deployments, and monitoring
- Build product-sense for data products while measuring user-adoption, -growth, -retention, and data products quality
- Work with the DataOps team for code migration and continuous improvements
- Partner with the business to define a value-generation roadmap and deliver MVPs of data products across data domains
- Apply a product mindset and product design thinking to build data as products
Job Requirements:
- Experience working with various modern data tech stack like Azure Data Factory, Databricks Delta Lakehouse , Azure Synapse Analytics, Google Data Flow, Data Prep, Python based integrations, Integration Run Times, MuleSoft Integration Platform, API led Integrations, etc.
- Expert level experience in writing ANSI SQL, T-SQL, PLSQL or HIVE SQL based complex queries and data aggregation and transformation
- Extensive experience in data modeling and database design involving any combination of data warehousing and business intelligence systems and tools
- 4+ years of Experience with Big Data Architectures, Business Intelligence, Data Engineering, Data Warehousing (Kimball/Inman/RDBMS), Wide Tables, Data Modeling, Report/Dashboard Building
- Strong analytical and problem-solving skills with a proven track record in gathering and documenting comprehensive business requirements
- 8+ years of data and technology experience, with at least 4 years in a solution architecture and data engineering.
- Experience in working/delivering analytics using Power BI and Tableau
- Experience with API-led data integrations
- Extensive hands-on experience working with large data sets with hands-on technology skills to design and build robust data analytics solutions using Spark, Delta Lake framework, Azure/GCP Big data services, Databricks and other tools & technologies
- Expert knowledge in SQL, Python, PySpark, Databricks, SparkSQL development frameworks
Job Details:
Company: Clorox
Vacancy Type: Full Time
Job Location: United States
Application Deadline: N/A
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