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Jobs or company...

Data Architect (Data bricks, ETL, Pharma/Healthcare)

Salary undisclosed
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About the Company:
NexInfo is a specialized consulting firm focused on enhancing business processes and automation in Supply Chain and Product Lifecycle Management. With a team of industry-experienced professionals, we provide expert solutions in Business Process Design, Software Implementations, Managed Services, Staff Augmentation, and SaaS Solutions. Our commitment to innovation and best industry practices helps companies optimize operations, from inventory management to full-scale business transformations. NexInfo s expertise spans Value Chain Planning, Demand Management, Sales & Operations Planning, Business Intelligence, Security & Governance Compliance, Financial Alignment, and more, driving efficiency and success across industries.
Summary:
The Data Architect will be responsible for guiding and deploying solutions for customers pertaining to the structure, integration, monitoring, storage, and governance of data. The candidate should possess experience in creating data pipelines and flows between business applications and data repositories. A technical and business acumen, particularly concerning industry-leading deployments of Data Lakes, Data Warehouses, Data Marts, and the progression of data from raw/bronze to curated/gold environments, is essential. Expertise in high transaction volume deployments is mandatory. Additionally, an understanding of Data Modeling, tabular object model, or semantic layer development, as well as Microsoft Power BI capabilities, is advantageous.
Responsibilities:
  • Collaborate with business stakeholders to comprehend their data requirements and identify high-impact use cases for data.
  • Design, develop, and implement efficient and scalable data pipelines utilizing Enterprise Data Platforms.
  • Construct robust and reusable data pipelines that comply with best practices and coding standards.
  • Work with data scientists to prepare data for machine learning models. Create and integrate Python scripts and SQL queries for data analysis. Use tools like AWS, S3, Azure Data Bricks and other cloud platforms for data storage and integration.
  • Monitor and maintain data pipelines, addressing issues as they arise.
  • Keep informed on data engineering advancements and trends.
Qualifications:
  • Preferred: Cloud data architect related certificates (e.g., Azure, Data Bricks Microsoft , AWS)
  • Certification in data architecture/data management (e.g., TOGAF, DAMA) modeling tools a plus.
  • Certification in data architecture/data management (e.g., TOGAF, DAMA) modeling tools a plus.
  • 12+ years of varied experience implementing all aspects of Data Management - Data / Big Data, Quality, Data Modeling, Data Governance, Data Integration / ETL, Metadata Management and Data Security.
  • 10+ years of enterprise experience working with data architecture efforts with subject matter authorities from varying technology and business disciplines
  • 5+ years of experience strategizing and implementing end-to-end Data Warehouses with strong SQL knowledge and leveraging technologies such as SSIS, Power BI, Tableau, ThoughtSpot
  • At least 4+ years in financial industry. Compatible domain experience will be considered.
  • With 2+ years leading distributed teams and working in cloud data environments.
  • Proven success in planning, influencing, and leading initiatives across engineering and business organizations.
  • Prior experience migrating from on premises platforms to cloud.
  • Strong SQL knowledge, Open Source, performance optimization, data catalog, data lineage, critical thinking, problem-solving, and effective communication.
  • Bachelor s degree required; master s preferred.
Regards,
Sudheer
Senior Recruiter
NexInfo
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
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