Associate Data Domain Architect

Are you ready to identify new opportunities and bring forth new process improvements to help automate the functions for new technology platforms Our team is a highly-collaborative inclusive environment where we value relationship-building, strategic thinking and solution-oriented members.

Job Summary:

Job Responsibilities:

• Contribute to data mining architectures, modeling standards, reporting, and data analysis methodologies and perform in depth analysis to resolve a business problem by employing the appropriate tools available in the enterprise
• Identify new opportunities to bring new process improvements and bring critical skillset to automate the functions on new technology platforms.
• Communicate data findings through engaging stories that are easy to understand
• Quickly assesses the big picture in complex situations and identify what is critical and implement rapid prototyping & deployment of existing capability to the target state platform.
• Work with business domain experts to identify data relevant for analysis
• Develop new analytical methods and/or tools as required
• Respond to and resolve data mining performance issues. Monitor data mining system performance and implement efficiency improvements
• Build test scenarios and assist in UAT.
• Develop and maintain comprehensive documentation for data processes and workflows.

Required Qualifications, Capabilities, and Skills:

• Hands on experience for data pull using SQL, SQL tuning, data validation, dimensional and relational data modeling.
• Understanding and hands on experience of designing and implementing ETL processes
• Experience using Alteryx, delivering reports and insights, data analytics inference, and visualizations to communicate with partners and stakeholders
• Experience on Data Migration projects. (Snowflake/Databricks)
• Demonstrated proficiency with Microsoft Office (Excel, PowerPoint)
• Strong problem-solving skills and attention to detail.

Preferred Qualifications, Capabilities, and Skills:

• Bachelor's Degree with 6+ years or Master's+ with 4+ years of experience operating as reporting and analytics professional with background in either Computer Science, MCA, Statistics, Engineering, Mathematics, Information Science, or related disciplines
• Experience with Python, PySpark, and microservices (AWS) is good to have
• Exposure to cloud (AWS/Azure) architecture and Data Lake is a plus