Data Architect

MatchPoint Solutions is a fast-growing, young, energetic global IT-Engineering services company with clients across the US. We provide technology solutions to various clients like Uber, Robinhood, Netflix, Airbnb, Google, Sephora, and more! More recently, we have expanded to working internationally in Canada, China, Ireland, UK, Brazil, and India. Through our culture of innovation, we inspire, build, and deliver business results, from idea to outcome. We keep our clients on the cutting edge of the latest technologies and provide solutions by using industry-specific best practices and expertise.

We are excited to be continuously expanding our team. If you are interested in this position, please send over your updated resume. We look forward to hearing from you!

Location: Remote PST

Remote, ok? Yes

Responsibilities and Duties:

• Deep experience with large data sets and managing deltas
• Experience across multiple big data platforms (Hadoop, Hortonworks, MapR, Cloudera, AWS, GCP, etc.)
• 5+ years of experience
• Develop database solutions to store and retrieve company information
• Install and configure information systems to ensure functionality
• Analyze structural requirements for new software and applications
• Migrate data from legacy systems to new solutions
• Design conceptual and logical data models and flowcharts
• Improve system performance by conducting tests, troubleshooting and integrating new elements
• Optimize new and current database systems
• Define security and backup procedures
• Provide operational support for Management Information Systems (MIS)

Qualifications:

First Project - OBI Metadata Improvement:

Phase 1

• Currently the tables have not details/definitions about the table, columns etc.
• Oracle Database
• Identify tool where to save the details/definitions.
• Populate the details for all databases with relevant details.

Phase 2

• Application Component Dependency Mapping
• Identify which applications are accessing which data from which databases and the data flow.
• Identify tool/system to capture this information
• Populate this data in the identified system/tool.

Second Project - ED PI Data Quality Improvement:

• This team is expected to help build Data Quality detection algorithms
• Original they used SQL Server environment but is now all in Oracle.