Data Architect

Mid / Senior


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Orion currently looking for an experienced and detail-oriented candidate to join our team in for one of our Financial Services Client based out of Encino, CA as Principal Data Architect. We are looking for this position as a self-motivated contributor working closely with software development teams.

Key Responsibilities:

  • Define software feasibility, run data reviews, assess current databases to identify areas in need of improvement, and oversee data development teams
  • Build and maintain Enterprise Data Model to meet the company’s needs
  • Understand the Industry latest trends on data strategy and create Innovative solutions
  • Provideу updates to stakeholders on product development processes
  • Drive innovation and data strategy by building and improving the data modeling and database design and best practices around Data Modeling/Architecture
  • Lead the data committee, gather requirements, and define data models and data solutions
  • Collaborate with stakeholders to understand the organization's data requirements, business objectives, and long-term goals. 
  • Develop a data strategy that aligns with the overall business strategy and ensures data-driven decision-making.
  • Design and develop data models that cater to the specific needs of the organization. 
  • Establish efficient and robust data integration processes to extract, transform, and load (ETL) data from various sources into the Azure environment. Ensure data quality, consistency, and accuracy during the integration process.
  • Design and implement data warehousing solutions using Azure services to enable scalable storage and efficient data retrieval for analytical processing.
  • Establish data governance policies and procedures for data access, usage, and retention.
  • Design data visualization solutions for reporting and business intelligence purposes.
  • Work closely with cross-functional teams, including developers, data engineers, business analysts, and project managers, to ensure successful implementation of data solutions.
  • Document the data architecture, data flows, and processes for reference and training purposes, enabling other team members to understand and work with the data architecture effectively.

Desired Profile:

  • Experience with Azure / Any Cloud and On-Prem Services Apache Spark™ Analytics, Microsoft Purview, Сloud Hadoop, R Server, HBase, and Storm clusters, Azure Stream Analytics, Azure Dev Ops, and standard Microsoft development environments
  •  Experience with Data Bricks and Azure Synapse
  • Low code/No Code, ERP, APIM, Event hubs and application integration technologies
  • Experience working in various technical environments including data architecture, programming experience, preferably in building enterprise web solutions
  • Familiarity of the SDLC and common development practices
  • Bachelor’s degree in computer science or related field or equivalent experience and/or training
  • Experience in integration enterprise solutions using Services and/or APIs
  • Experience on Cloud, Relational, NoSQL and Big Data technologies, techniques, and trends
  • Strong Experience with data analytics data integration (ETL/ELT), data delivery, data preparation, data discovery, data processing, data storage, and data science.

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