Senior Data Architect Lead
2 days ago
We are seeking an experienced Senior Data Architect Lead to join our team at PepsiCo. This is a unique opportunity to lead data architecture activities for critical projects, driving the design and implementation of Advanced Analytics capabilities and platform oversight within the Azure Data Lake, Databricks, and other related ETL technologies.
Job DescriptionThe primary focus of this role will be to translate business requirements into technical specifications, including data streams, integrations, transformations, databases, and data warehouses. You will implement cutting-edge solutions by building Semantic and Virtual data layers to provide faster and federated query execution.
Responsibilities:- Lead Data Architecture for critical data and analytics projects
- Drive and Deliver Data Architecture & Solution architecture deliverables such as conceptual, logical, and physical architecture
- Partner with Enterprise Architecture (Data & Analytics) and ensure the usage of standard patterns
- Partner with project leads, IT Leads, Security and Enterprise Architecture team members in architecting end-to-end solutions
- Gain Architecture alignment and sign-off and guide the project team during implementation
To be successful in this role, you will need:
- 10+ years of experience in Teradata and Hadoop ecosystem (Ex: Hive, Spark, Kafka, HBase)
- 3 to 5 years of hands-on experience in architecting, designing, and implementing data ingestion pipes for batch, real-time, and streams on the Azure cloud platform at scale
- 1 to 3 years of experience in using ETL tools like Informatica, ADF or similar tools, especially for a large volume of data
- 1 to 3 years of hands-on experience on Databricks
- 3 to 5 years of working experience on Azure cloud technologies like Spark, IoT, Synapse, Cosmos dB, Log analytics, ADF, ADLS, Blob storage, etc.
- 1 to 2 years of experience on distributed querying tools like Presto or similar tools
- 1 to 2 years of experience on virtualization tools like Denodo or similar tools
- 1 to 3 years of experience in evaluating emerging technologies is required
- 1 to 3 years of experience in Python/Pyspark/Scala to build data processing applications
- Having experience in extracting/querying/Joining large amounts of data sets at scale
This is a highly analytical and motivated role that requires strong communication and organizational skills. The ideal candidate will have:
- Highly analytical, motivated, decisive thought leader with solid critical thinking ability to quickly connect technical and business 'dots'
- Strong communication and organizational skills and can deal with ambiguity while juggling multiple priorities and projects at the same time
We offer a competitive salary of $180,000 - $220,000 per year, depending on experience.
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