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Design, build, and maintain cloud data pipelines and data architecture on AWS, Azure, or GCP. Advise clients on cloud ingestion and processing strategies, collaborate with stakeholders to maximize data value, and deliver production data products using modern databases, ETL/scripting, and engineering best practices.

Design, implement, and maintain cloud-based data pipelines and warehousing/lake solutions. Advise clients on best practices, lead technical decisions, mentor engineers, and collaborate with stakeholders to deliver scalable, maintainable data engineering solutions.

Design and recommend end-to-end data architecture solutions across on-premises and cloud environments. Assess current-state gaps, define future-state architectures, optimize data ingestion, storage, modeling, and delivery, and guide governance, real-time distribution, and tooling choices while mentoring staff and supporting business development.

Design and recommend end-to-end data architectures, assess data management technologies, improve data integration/quality, guide modernization (cloud, streaming, NoSQL, warehousing), mentor staff, collaborate with stakeholders, and support business development to deliver data-driven solutions.

Lead design and implementation of modern data architectures across cloud and on-prem environments. Assess technologies, define strategies for integration, governance, and data delivery; lead engineering teams; advise stakeholders; drive thought leadership and support business development for data & analytics solutions.

Design, build, and maintain cloud-based data pipelines and architectures on AWS, Azure, or GCP. Advise clients on cloud data solutions, implement production data products, collaborate with stakeholders, and evaluate architectural trade-offs to meet business needs.

Design and recommend end-to-end data architectures that align with client business needs. Assess current-state gaps, define future-state solutions across ingestion, storage, integration, governance and delivery, and mentor teams. Advocate cloud and modern data platform technologies, evaluate trade-offs, and support business development and delivery of data solutions.

Design, build, and maintain cloud-based data pipelines and architectures on AWS/Azure/GCP. Advise clients on cloud data strategies, collaborate with stakeholders, implement production data products, and articulate architectural trade-offs.

Design, build, and maintain cloud data pipelines and data architecture on AWS/Azure/GCP. Advise clients on cloud-based ingestion and processing, collaborate with stakeholders, and deliver production-ready data products while evaluating architectural trade-offs.

Design, implement, and maintain cloud-based data pipelines and platforms. Advise clients on best practices, integrate disparate data sources, optimize data warehousing/lake solutions, mentor engineers, and ensure scalable, maintainable data architectures across cloud environments.