Data Architect
UCB Expired |
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Atlanta, GA, USA |
To strengthen our G2M Analytics team, based in our Atlanta HQ, we are looking for a talented individual to fill the position of: Data Architect.
You like to work in an environment where you can:
You like to work in an environment where you can:
- Analyze business requirements to build the data blueprint by designing the data entities and taxonomies and the data flow underneath the business process.
- Collaborate with the rest of the Data and Platforms Groups for the design and build of a structured approach of data storage and access mechanism to data mart models.
- Provide support to frame the optimal flow for data - from capture to analysis- including interactions between people and processes.
- Partner with IT teams (Architecture, BI Center of Excellence, Operations and support teams) in various locations at all steps of project lifecycle to ensure consistency in tools and standards, smooth set up of solutions and appropriate transition to support and operations.
- Proposing solutions, provide strategic direction, and prioritize on-going demands focused on Data Lake, Data Warehouse, Master Data Management and advanced analytics.
- Managing projects from start to finish and ensure successful implementation within agreed cost, schedule and quality targets.
- Providing thought leadership to the immediate business and technology organization
- Developing architecture specification deliverables that map customer business requirements into complete information systems (technologies, processes and people) or operational solutions.
- Developing enterprise architecture standards and facilitating the adherence and governance of related project activity through controls in PMO, Project/Solution Development Lifecycle, Change Management, and Procurement processes.
- Bachelor’s Degree
- Minimum of 7 years of professional experience in Business Intelligence, Analytics, Data Warehousing, Data Architecture
- Familiar with cloud technologies (Azure and AWS analytics stacks) and analytics workbenches (Jupyter, Qubole), Spark, Databricks, Scala, Azure DevOps etc.
- Familiar with most common advanced analytics IDE’s like pyCharm.
- Experience with a Master Data Management tool.
- Experience with latest analytics tools and technologies (tools, Big Data technologies, ETL (for example, Informatica, SAS DI), database query languages, data warehousing, dimensional modeling, data cleansing, OLAP design, data lakes, master data management, advanced analytics, enterprise application integration.
- Experience with performance optimization, large data volume architecture and design, relational and columnar databases, operations, data extracts, data refreshes and workflows.
- Experience with Business Intelligence, Reporting and Data Visualization architecture, design, tools and technologies is a plus.
- Experience in commercial organization/pharmaceutical industry is strongly preferred
- Up-to-date knowledge of market trends and developments in Artificial Intelligence, Data Science and related new technologies preferred to provide recommendations and deliver standard methodology solutions