Data Architect
Description
Data Architect
This is a hybrid position that requires in-office days to be spent at our headquarters. RevLocal headquarters are located in Granville, OH until our move in early summer to the Polaris area in Westerville, OH. You must be able to report to both locations during this transition.
Purpose of the Data Architect
A Data Architect at RevLocal is expected to champion our approach to data addresses our strategic needs to provide a foundation for our products, reduce friction for our operations, and make company objectives big and visible. The ideal candidate will have a strong knowledge of data architecture patterns, an ability to implement these patterns through mentoring and directly pairing with the engineering team and possess the capability to envision and articulate the future state of RevLocal’s data strategy. As an informal servant-leader in the company, this individual will use their experience to grow other team members to be proficient in data-centric approaches through pairing, mentoring and more structured education (workshops, lunch and learns, etc.). This position it is expected to architect scalable and stable solutions that address the needs of the day and are flexible enough to support the needs of the future.
Data Architect Responsibilities:
- Develop and execute a data strategy that aligns to RevLocal’s business objectives and allows for continuous product innovation.
- Work directly with infrastructure and software engineers to implement solutions. The ability to effectively teach and coach are essential. Hands-on development skills are required (no Ivory Towers, please)
- Assess and prioritize data needs across the enterprise and create appropriate fit-for-use solutions.
- Implement data security standards for developing new solutions and for maintaining existing solutions.
Data Architect Requirements:
- Experience in creating strategies for enterprise data, from concept through implementation, that meet the needs for Product, Operations and Business Intelligence.
- Experience developing and implementing an Enterprise Data Strategy, including:
- Data Governance
- Data Security
- Data Democratization
- 5+ years’ experience in multiple data development techniques
- Relational DB design and development, SQL and data normalization.
- NoSQL design, development and maintenance.
- Medallion architecture as it relates to analysis systems.
- Data warehouse, Data Lake and Lakehouse architectures / technologies, including experience in design, development and maintenance.
- Demonstrated hands-on experience in Software Development, including:
- C#, Python, R, DAX, and PowerShell
- DevSecOps Practices
- Microservices architecture
- Experience working with Apache Spark and Parquet
- Working knowledge of MS Azure Tools and Technologies including:
- Azure Data Factories, Logic Apps, and Azure Functions
- Azure Synapse
- Azure SQL
- Azure Blob Storage
- Power BI
- Azure Purview
- Azure DevOps
- Working knowledge of AWS tools and technologies including:
- Redshift
- S3 Storage
- RDS Databases
- AWS Glue
- Exposure to Machine Learning methodologies is desired.
- Bachelor’s degree in Computer Science, Engineering, or related field.
- Strong business acumen and the ability to connect technology needs to business outcomes.
- Excellent technical, diagnostic, and troubleshooting skills.
- Demonstrated leadership and organizational abilities.
- Willingness to build professional, collaborative relationships with technical team members and business stakeholders.
- Willingness to work in a hybrid work environment, emphasizing in-person for situations requiring high-bandwidth collaboration (brainstorming, discovery, mentoring, coaching, etc.).
- Excellent communication, motivational, coaching, and interpersonal skills.