HCLTech is a global technology company, home to 227,000+ people across 60 countries, delivering industry-leading capabilities centered around digital, engineering and cloud, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and Public Services. Consolidated revenues as of 12 months ending September 2022 totaled $12.1 billion. Work independently to solve complex open-ended questions. Lead and manage the design, testing, and implementation of databases (Azure SQL and/or Snowflake) that support productionized BI dashboards (PowerBI, Tableau) and custom analytic applications. Focus on the coding visuals for the database; compare and analyze statistical information to identify patterns, relationships, and problems. Provide recommendations for maintenance and optimization options related to data storage and delivery that includes plans for integrating internal enterprise data resources (e.g., Veeva, Salesforce MC) and external third-party data sources. Set up database QC monitoring resources, and help troubleshoot issues related to data ingestion, security and technical resources and pipeline failures. Document and organize findings including data retrieval, stand up libraries. Replicate results and present to management and/or customers as required. Work alongside data engineers to develop comprehensive automated ELT workflows that align with database design. Mentor and coach junior team members across the business. Equality & Opportunity for All Representing 165 nationalities across the globe, we pride ourselves on being an equal opportunity employer, committed to providing equal employment opportunities to all applicants and employees regardless of race, religion, sex, color, age, national origin, pregnancy, sexual orientation, physical disability or genetic information, military or veteran status, or any other protected classification, in accordance with federal, state, and/or local law.