Data Warehouse Lead

Skills

• A minimum of 10+ experience with at least 5+ years in a lead role • Experience in development of data warehousing or Lake House Architecture or relevant experience (Snowflake Microsoft SQL Server Microsoft Shared Pool) • Experience in leading a dev team • Experience with JIRA • Design scalable solution strategies to support batch near real time and streaming data integration with new and existing tools/technologies architecture • Understand the role of data domain and ontology modelling in the building of scalable end-user facing applications. • Working experience in multidimensional data modeling such as star schemas normalized and denormalized models handling “slow-changing” dimensions/attributes • Technical proficiency with standards-based data engineering tools • Deep understanding of Microsoft Azure cloud and its data platforms offerings • Have a passion for learning new technologies in space. • Experience working with data warehouses solutions such as Microsoft Synapse DW or Snowflake and understanding of data architecture design • Experience with a data catalog solution

Description

• Work on software development (data) projects within different disciplines which influences multiple areas of the business

• Work closely with the product manager, business analyst, and architect to develop the technical design and solutions

• Analyze, code, test, implement, and update existing or new data platform engineering solutions

• Coordinate with other team members and provide the tangible end-product

• Use a process-driven method to approach design solutions

• Work collectively with the product owner, program leadership, and others and support them in resolving hitching issues

• Plan your development tasks accordingly to improve and grow your performance bar considerably

• Manage Team execution to ensure adherence to schedule, and scope

• track Team milestones, deliverables, and key decisions

• coordinate activities of team personnel

• Work with teams to implement a modern data platform engineering deliverables aligned to our customer needs

• Develop/design data models, data flows, and integration patterns for the data systems, like data warehouse, databases, data lake, and usage data layers.

• Collaborate with fellow data engineers and other architects in building and developing conceptual, logical, and physical models

• Independently analyze, solve, and correct issues in real time, providing problem resolution end-to-end

• Identify new opportunities and help refine automation of regular processes, track issues, and document changes

• Share domain and technical expertise, providing technical mentorship and cross-training to other peers and team members

• Advocating/collaborate for an effective data governance practice