Use leadership skills to drive process data analytics and AI design from discovery to delivery. Collaborate with Business and GIS stakeholders to support big data platform initiatives and provide direction on defining data strategy and architecture for cloud-native platforms.
Design and develop data engineering solutions and data governance specifications as part of digital transformation processes. Participate in business transformation workshops with subject matter experts to identify data and process gaps proposing scalable data and analytics architectures to address those needs.
Utilize existing architecture as a data hub for the digital transformation program identifying supplemental tools and services for process improvement. Offer guidance and insights on emerging data analytics trends and technical capabilities that can enhance digital transformation across the company.
Demonstrate advanced data and analytics solutions to digital transformation teams showing the potential of the Data Fabric platform with proof-of-concept projects. Develop uphold and advocate for advanced analytics standards and procedures throughout the GIS Data Hub across the entire organization.
Design planning and analytics solutions by integrating Workday Adaptive with the Azure analytics stack Microsoft Fabric Synapse Power BI including ETLELT pipelines to support enterprise decision-making.
Build strong relationships with key business sponsors and IT resources to efficiently resolve work requests.
Education and Certifications
Bachelors degree in Computer Science, Information Technology, MIS, Data Science Analytics, or a relevant Engineering field. Masters or PhD preferred.
Technical Experience
Over 12 years of experience with modern data engineering, data warehousing, and data lake technologies on cloud platforms such as Azure, AWS, and Databricks.
Over 10 years of SQL experience with cloud-native data warehousing and data modeling.
Over 5 years of experience in building and supporting FP&A applications integrating platforms such as Workday Adaptive, Anaplan, SAP BPC, etc. with ERP systems and Azure data platform.
Over 5 years of experience configuring Azure cloud and SaaS platforms and building automated ETLELT pipelines for real-time streaming and batch data exchange.
Minimum of 3 years working extensively with Spark and Python technologies for big data processing.
At least 3 years of hands-on experience implementing end-to-end medallion architecture using Databricks or similar cloud tools.
Proven background in schema design and dimensional data modeling.
Comprehensive knowledge of data warehouse best practices, development standards, and methodologies using platforms like MS Fabric, Azure Synapse, Redshift, etc.
Skills and Abilities
Skilled communicator and presenter with a record of leveraging insights to influence executives and team members.
Experience with financial planning platforms and related business processes (e.g., budgeting, forecasting, and long-term planning) is a plus.
Strong background in working with and analyzing large datasets, particularly in IoT and enterprise domains.
Preferred Strong computer science and mathematics foundation.
Excellent SQL query writing skills and communication abilities.
Familiarity with common APIs such as REST and SOAP is advantageous.
From smartphones and tablets to wearables and automobiles, it’s hard to go more than a few hours without using a semiconductor-enabled device. The semiconductor industry touches nearly every person on the planet, and chipmakers continue to advance the technology that powers it all.
As a trusted partner to the world’s leading semiconductor companies, we welcome challenges and we deliver. That’s why, today, nearly every advanced chip is built with Lam technology.
Our innovative wafer fabrication equipment and services allow chipmakers to build smaller and better performing devices. We combine superior systems engineering, technology leadership, and a strong values-based culture, with an unwavering commitment to our customers.