Data Architect

Summary

Join 3Pillar Global as a Data Architect and be at the heart of the organization, supporting clients in leveraging their data. You will collaborate with business leaders and information management teams to define and implement data management roadmaps. Key responsibilities include assessing existing data components, proposing end-to-end data solutions, designing large data platforms, and defining tools and technologies for automated data pipelines. You will also ensure data architecture aligns with best practices and business needs, and contribute to the growth of the Data Science & Analytics Practice. This role requires expertise in SQL, Python, GCP, and DBT, along with 10+ years in data modeling and 3+ years in big data. The position offers various benefits, including medical and life insurance, paid time off, parental leave, and a Christmas bonus.

Requirements

• Expertise in SQL, Python, ERD, GCP(All services, especially BigQuery, GCS, Cloud Function, Composer), DBT with Active/Heavy hands-on in the last 3~5 years
• Possess the knowledge of Modern Data Technology released in the last 2~3 years
• Design and optimize conceptual and logical database models
• Analyze system requirements, implementing data strategies, and ensuring the efficiency and security
• Improve system performance by conducting tests, troubleshooting, and integrating new elements
• In-depth understanding of database structure principles
• Expertise in implementing and maintaining data pipelines
• Deep knowledge of data mining and segmentation techniques
• 10+ years in data modeling with 3+ years in Big data (100TB+)
• Familiarity with data visualization tools
• The submission of candidates requires both Resume/Profile and code assessment result in SQL and Python(e.g. IKM CodeChek/TechChek)

Responsibilities

• Assessments of existing data components, Performing POCs, Consulting to the stakeholders
• Proposing end to end solutions to an enterprise's data specific business problems, and taking care of data collection, extraction, integration, cleansing, enriching and data visualization
• Ability to design large data platforms to enable Data Engineers, Analysts & scientists
• Strong exposure to different Data architectures, data lake & data warehouse
• Define tools & technologies to develop automated data pipelines, write ETL processes, develop dashboard & report and create insights
• Continually reassess current state for alignment with architecture goals, best practices and business needs
• DB modeling, deciding best data storage, creating data flow diagrams, maintaining related documentation
• Taking care of performance, reliability, reusability, resilience, scalability, security, privacy & data governance while designing a data architecture
• Apply or recommend best practices in architecture, coding, API integration, CI/CD pipelines
• Coordinate with data scientists, analysts, and other stakeholders for data-related needs
• Help the Data Science & Analytics Practice grow by mentoring junior Practice members, leading initiatives, leading Data Practice Offerings
• Provide thought leadership by representing the Practice / Organization on internal / external platforms

Benefits

• Medical Insurance benefits as per company policy
• Life Insurance as per company policy
• 12 days of paid vacation, sick leave and paid holidays as per local law
• Paternity and maternity leave as per as per local law
• Marriage, bereavement and graduation leaves as per company policy
• Sick leave and paid holidays as per local law
• Christmas bonus as per local law
• Saving Fund “Asociacion Solidarista”
• Beach house (Managed by the Asociacion Solidarista)
• Discounts in local shops
• Direct deposit of payroll
• Paid professional certification