• Function as a technical leader and advisor within the data technology field at TCGplayer, nurturing the growth and progress of both the company and individual engineers • Provide technical expertise and insight as you work with other teams to develop data flow strategies and define storage needs for microservices, ensuring scalability, reliability, and alignment with system architecture • Manage cross-application projects for datastores, emphasizing security, software currency, data governance, and platform migrations • Research emerging capabilities in both the datastores used by the organization and the broader marketplace to inform long-term strategic planning in the data domain • Consult on database design for the structures within an application’s datastores and queries/aggregations against those structures, optimizing for performance and scalability • Write minimal yet effective code, primarily database queries to facilitate data management and manipulation and proof-of-concepts for suggested techniques • Guide selection of appropriate datastore technologies for new and re-platformed apps, focusing on transactional microservices and event-driven systems to meet current and future data needs

• Lead data migration analyst and data migration efforts • Oversee the preparation of complex data queries; Extraction, Transformation, and Load (ETL), data cleansing • Prepare complex data analysis including trends, links, patterns, and an anomaly analysis • Provide data migration planning, strategy, assessment and analysis support to IT AD and delivery partners • Provide data migration testing and validation support designing and executing comprehensive testing strategies • Provide data migration execution and support to IT AD, business partners, stakeholder management • Provide continuous improvement of data migration activities to IT AD and business partners • Optimize data migration activities to resolve performance concerns • Identify areas for business process improvement and reengineering which will alter the data set and impact data migration

• You're the bridge between raw operational chaos and polished analytics. • Building ETL/ELT pipelines that ingest, transform, and serve data at scale • Designing warehouse schemas (star schemas, fact tables, the whole dimensional modeling thing) • Creating pre-aggregated datasets so dashboards load fast and analysts stay happy • Making sure data flows reliably from source systems → transformations → analytics layer • Partnering with analytics team to understand what data they actually need • Optimizing the infrastructure so it doesn't cost a fortune or fall over • Building data quality checks because garbage in = garbage out

• Design, build, and manage our data warehouse, data storage, and data ingestion solutions. • Implement robust and fault-tolerant systems for data ingestion and processing. • Develop canonical datasets to track key product metrics, including user growth, engagement, and revenue. • Understand and translate business needs into data models to support long-term, scalable, and reliable data pipelines • Enhance and maintain the Data Infrastructure using best practices and latest features to ensure high data quality. • Define and manage SLA’s for data sets and processes running in production • Continuously improve our data infrastructure and empower teams with the best data tooling and systems. • Build strong cross-functional partnerships with Data Analysts, Product Managers, and Software Engineers to understand data needs and deliver on those needs. • Participate in data architecture and engineering decisions, leveraging your strong experience and knowledge. • Build lineage and auditability into data pipelines • Be part of a data engineering team that is also responsible for the reliability of the data systems that are built and be available to respond to critical incidents as needed • Ensure the security, integrity, and compliance of data in accordance with industry and company standards.