Senior Data Architect
2 weeks ago
This role is responsible for leading the transformation of the enterprise ETL platforms, requiring engagement across multiple lines of business. Key responsibilities include setting up automations, coordinating delivery, providing visibility of program health, and managing program risks.
Key Responsibilities
Develop and deliver data ETL solutions to accomplish technology and business goals.
Code solutions to ingest, curate, aggregate, integrate, clean, transform, and control data in operational and/or analytics data systems per the defined acceptance criteria.
Assemble large, complex data sets to meet functional reporting requirements.
Build processes supporting data transformation, data structures, metadata, data quality controls, dependency, and workload management.
Define and build reporting applications that enable better data-informed decision-making.
Requirements
Bachelor's degree or equivalent in Computer Science, Computer Information Systems, Management Information Systems, Engineering (any) or related;
5 years of progressively responsible experience in the Job offered or a related IT occupation;
Working closely with business partners to help translate functional requirements into technical approach, design, and decisions;
Creating SQL schema objects, complex attributes / metrics, conditional and level metrics, and their use within a report;
Developing Excel & Tableau dashboards and 3rd party application report integration;
Using SQL, Python, Hadoop/Hive and data warehouse concepts /architecture, dimensional modeling, and ETL solution design.
Preferred Qualifications
Banking & Markets business acumen;
Tuning and optimizing query performance for large datasets-cubes, caching, aggregate structures within MicroStrategy, Tableau and various RDBMS, Hadoop backend systems.
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