Partner with the Data Science Engineering lead and cross-functional teams to identify strategic solution architecture specifically relating to data pipelines and applications, AI/ML platforms, and general analytical tools
Execute architected techniques and solutions for data collection, ingestion, management, aggregation, and usage
Take business requirements and produce data sets for efficient cross-business analysis focusing on data stewardship and feature engineering
Extreme focus on detail and data quality validation, employing various anomaly detection techniques and good old common sense
Deep interest in the data and analytics market with the ability to creatively solve data integration and delivery problems
Design, deploy and integrate process-specific data models feeding a wide range of reporting/insights/activation data sets
Use tools and applications like Alteryx, Tableau, Snowflake, and Matillion (among others) to create innovative data solutions for media/marketing teams to support the experimental design and optimization processes
Provide thought leadership around newer technology when it comes to finding the right solution for our clients
Minimum 4-6 years of recent, progressive experience and demonstrable technical expertise in enterprise-class data analytics solutions and services. Including advanced skills in areas such as Data Modeling, Integration, Storage, Indexing, Security, Logging, Data Quality, Master Data Management, and Archiving.
Minimum 2 years of recent experience in enterprise-class data analytics architecture, including enterprise and solution architecture assessment/definition, and significant depth in two or more data analytics solution architecture components (i.e., data management, data integration, information delivery, and/or advanced analytics)
Experience designing logical and physical data models utilizing ERDs, data pipelines, and workflow documentation
Proficiency in all aspects of SQL (complex joins and aggregations, stored procedures, functions, triggers).
Experience with architecture and applications on or incorporating cloud infrastructure-, platform-, and/or software as a service (particularly data analytic solutions on Amazon AWS, Microsoft Azure, or other cloud platforms and service providers)
Experience with Alteryx (Designer/Server) or similar, and cloud-based storage / databases / data-warehouses (Redshift, Snowflake, etc.)
Strong experience with relational database technologies (Oracle SQL & PL/SQL or similar RDBMS), preferably Snowflake or other Cloud Data warehousing services.
Strong Quantitative Reasoning and Pattern Recognition ability
Common sense business approach (ability to balance real world with the theoretical)