Data Architect

Há 1 mês

Brasília, Brasil HCLTech Tempo inteiro
We are HCLTech, one of the world’s largest and fastest growing technology and DSA companies with over 227,000 professionals across 60 countries, driving progress through industry-leading capabilities focused on Digital, Engineering and Cloud.

The driving force behind this work, our people, is a diverse, creative and passionate audience that enables us to continually raise the bar for excellence in our services. We strive to empower each of our professionals to achieve their best, while also striving to help them find their daily inspiration and become the best version of themselves.

We are looking for a highly talented and self-motivated Software Engineer to join us on our journey to advance the world of technology through innovation and creativity.

The Technology & Data Solutions (TDS) business unit is the Syneos Health accelerator for life sciences innovation. TDS houses our advanced technology acquisitions, homegrown products & applications, actively participates in new M&A and partnership activities, delivers critical insights as part of our integrated strategy for customers and drives enterprise-wide adoption and change management for innovative tech & data solutions. Our work supports getting meaningful new medicines to patients faster, with greater positive impact. The Data Architect supports our business goals by designing data infrastructure to extract and organize data to support the needs of our customers.

JOB RESPONSIBILITIES Work independently to solve open-ended questions. Help lead and manage the design, testing, and implementation of databases

(Azure SQL and/or Snowflake)

that support productionize 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. Help set up database QC monitoring resources, and help troubleshoot issues related to dataingestion, 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

QUALIFICATION REQUIREMENTS Degree (BS/BA, MS/MA preferred) in Information Systems, Software Engineering, Computer Science, Data Engineering, or related field is required. Experience with

Snowflake or other cloud data warehouse tools.

Why choose us?

We are one of the largest and fastest growing technology companies in the world, with offices in over 60 countries and 224,000 employeesOur company is extremely diverse with 165 nationalities representedWe offer the opportunity to work with colleagues from all over the worldWe offer a virtual-first work environment, promoting a good integration between your work and personal life, with real flexibilityWe are committed to your growth, offering learning and career development opportunities at all levels to help you find your unique brilliance. We offer comprehensive benefits to all employeesWe are certified as a "Great Place to Work" and "Top Employer" in 17 countries, and recognized as a “Top Employer” in Brazil specifically, offering a positive work environment that values employee recognition and respect

Equality & Opportunity for All

Representing 165 nationalities worldwide, we are proud to be an equal opportunity employer committed to providing equal employment opportunities to all applicants and employees without regard to race, religion, sex, color, age, national origin, pregnancy, sexual orientation, disability or genetic information, or any other protected classification, in accordance with federal, state and/or local laws

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