Confidencial REF: #1081
Headquartered in midtown Manhattan and Washington DC, we are surrounded by startups and technological innovation. The entrepreneurial atmosphere drives us to challenge ourselves personally and mentally. Our projects are breaking new ground using the latest technologies in machine learning and AI. Data Analytics is evolving rapidly and we’re a group of passionate data nerds excited to work with other talented data practitioners.
We are looking for an experienced Solutions Architect with significant experience in enterprise Data Lake & Data Warehouse initiatives. Our client build modern data analytics platforms for its clients that incorporate advanced analytics and machine learning to solve business problems.This role provides an exciting set of experiences across a wide range of domains. This person will work directly with our client's leadership to help define the architecture of the future enterprise data platform. They will work closely with stakeholders and team members to determine the needs of the platform and design solutions that can allow the company to use data more efficiently and build trust in it. The ideal candidate will have senior-level experience with data architecture and data engineering.
Analyze Client needs and requirements in order to design robust solutions
Define processes and standards for how data will be integrated, stored, managed, and consumed within the organization.
Work with stakeholders across the client teams to build and support the data infrastructure
Communicate solutions effectively with clients and team members
Monitor progress and adjust architecture/decisions as needed
Build and support analytical tools providing actionable insights into customer acquisition, operational efficiency, and other KPI’s
Establish best practices and bake them into solution designs
Consider security, performance, data quality
Create POCs to kickstart the development for the team
Bachelor's degree in Computer Science or a related technical field, or equivalent practical experience
6+ years of enterprise IT experience across data engineering, software engineering, DevOps, or architecture roles
Hands-on experience designing, architecting, and implementing large scale, data-driven applications, and data flows
Excellent verbal and written English communication
5+ years experience of Cloud computing experience
Hands-on experience with Azure data products
Demonstrated leadership in the fields of big data, data warehousing or data science
Hands-on experience with Snowflake