Position: Enterprise Data Architect

Location: Chicago Loop

About Raise

Raise is the largest, most trusted marketplace where our mission is to help consumers make their money worth more. Shoppers can buy discounted gift cards to over 3,000 brands or sell their unwanted gift cards for cash through our mobile applications and website.

Raise partners with retailers to offer a new type of digital payment, and since our launch in 2013, we have saved consumers over $100M to date. Raise is headquartered in Chicago with an office in New York.

About The Position

The Enterprise Data Architect works on the Engineering Team, but has an enterprise view of how data is used throughout Raise—including operations, marketing, finance and product strategy. This position offers a unique opportunity to get in on the ground floor within a fast-growing organization, and will help shape our technology, product and business.

 Responsibilities

• Own the data model:
  • Work with all development teams to review proposed model changes
  • Come up with a model that will work with short term needs and long term plans
  • Ensure model changes make it into production with known impact to system performance
  • Work with the Analytics team to create a data model allowing for a holistic view of the customer, identification of gaps, and working with the development teams to fill those gaps in the data
  • Ensure a complete model is captured and visualized, including definitions, into consumable subject areas and work to define the tables and attributes
  • Publish and socialize the data model across development and business groups
• Increase security around data, including roles and privileges, and treatment of PII and PCI data
• Ensure data quality through a combination of traditional relational integrity checks as well as reconcilement between systems
• Create a strategy where test systems have representative production level data for good performance and variety checks
• Evangelize data practices and standards through tech-talks, group discussions, and 1-1 conversations
• Create source of truth among different database technologies, and work to reduce data redundancy
• Look at platform monitoring and alerting and ensure proper statistics are being created for optimal performance and uptime
• Create standardized platforms across all data technologies including NoSQL, Streaming, OLTP and Analytics

Skills & Qualifications

• Strong experience in modeling transaction (OLTP) and decision support systems (dimensional/star schema); understanding of streaming technologies and how it can be leveraged for business and technical advantages
• Experience supporting a business from the data perspective with a strong business understanding
• BS or MS in Computer Science preferred or equivalent experience
• Experience as a DBA, Data Architect, or Data Analyst.
• Postgres experience preferred
• Willingness to wear multiple ‘hats’ including a data architect, DBA, data analyst, and coach
• Advocate for when to perform ETL vs ELT
• Keep current on latest technologies and ability to provide an assessment of different platforms and provide a recommendation

Benefits

• Comprehensive benefits package including health, dental, vision, 401(K) with match, disability and life insurance
• Competitive PTO
• Raise Gives Back- 8 paid hours allotted annually for volunteer opportunities
• Pre-tax commuter program
• Paid parental leave

Apply Today

Equal Opportunity Employer M/F/D/V

E-Verify Employer