Senior Data Warehouse Engineer – Enterprise Data Warehouse

Location: Pittsburgh

Job Type: Full Time / Permanent

We are looking for an experienced Sr. Data Warehouse Engineer – Enterprise Data Warehouse to focus on improving the availability and quality of data that is made available throughout the organization with specific attention to a particular domain critical to the success of the organization. In this role, you will develop deep knowledge and understanding of the data assets available within our data platforms and act as the subject matter expert on the data and its utility for operational use. While joining forces with the business, data engineering teammates, and product development partners, your expertise in petabyte-scale data in data lakes, data warehouses, or data marts ­– in structured, semi-structured, and unstructured formats – will deliver on the Data and Analytics organization’s mission to enable data-driven decisions within any action. Joining you along this journey to the best-in-class data footprint will be teammates across data science, platform engineering, and software development, all with a unified strategy and supporting goals. This role models, implements and nurtures data that ultimately becomes certified or the ‘single source of truth’ for the organization. As such, data stewardship, governance, and compliance routines will depend on successful delivery against these objectives.

What you will bring: 5-7 years of Data Warehousing and Data Modeling experience. Strong understanding of Normalized/Dimensional model disciplines and similar data warehousing techniques. Strong experience working with ETL/ELT concepts of data integration, consolidation, enrichment, and aggregation in petabyte-scale data sets. Expert in SQL and/or SQL-based languages and performance tuning of SQL queries. Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores. Collaborate with Product and analytics teams on normalizing and aggregating large data sets based on business needs and requirements. Data auditing skills to verify data integrity, understand discrepancies, and resolve them with the highest sense of urgency. Experience with various data storage technologies – e.g. RDBMS, columnar, tabular, document store, NoSQL Experience with cloud-based data warehouses – e.g. Snowflake, BigQuery, Synapse, RedShift, etc. Create supporting documentation, such as metadata and diagrams of entity relationships, business processes, and process flow. Demonstrated ability to share findings with non-technical or senior executive individuals. Familiarity with Analytical/Reporting Solutions like Qlik Sense, PowerBI is a plus

Job Duties and Responsibilities: Work directly with the developers, system architects, and users to review requirements and deliver best-practice database models. Work with stakeholders including the product, data and architecture teams to assist with data-related technical issues and support their data infrastructure needs. Provide proactive design, operational support, and governance for privacy and security policy for data.

Additional Requirements: Bachelor’s Degree Library Science, Information Systems, Finance, Information Technology or equivalent experience. Exceptional Communication Skills Any Public Cloud certification focused on data warehousing Any certification on specific database technology Experience developing models in modern public data warehousing environments like Snowflake, Synapse, BigQuery, RedShift Experience developing dimensional models and running queries on edge databases such as Oracle , PostgreSQL, MariaDB/MySql, or SQL Sever Proficient in Linux/Unix environments

Retail experience preferred

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