Data Architect
3 weeks ago
Responsibilities Design and implement scalable, secure, and high-performance data architectures that support business intelligence, data warehousing, and analytics solutions. Define data standards, governance, and integration frameworks to ensure consistency and quality across the organization. Oversee the selection and implementation of data management tools and technologies (e.g., cloud solutions, ETL tools, data lakes, data warehouses). Evaluate emerging data architecture trends and solutions to continuously improve the data architecture framework. Business Development and Client Engagement Collaborate with sales and client teams to identify client needs and translate business requirements into data solutions. Participate in proposal development, preparing technical content to support business development activities. Lead or contribute to client presentations, showcasing the data architecture capabilities and solutions. Identify upsell or cross-sell opportunities during client interactions to drive additional business value. Technical Leadership and Project Management Lead data architecture design and implementation projects, providing technical direction and guidance to project teams. Ensure that projects align with client goals and follow best practices in data architecture and security. Act as a liaison between IT and business teams, ensuring that data solutions meet functional, operational, and analytical requirements. Mentor and guide junior data architects and data engineers, fostering skill development and knowledge sharing. Data Governance and Compliance Establish data governance processes, including data quality, security, and compliance policies. Collaborate with the compliance team to ensure that data architectures comply with relevant regulations. Implement data privacy controls and support audits to verify adherence to governance policies and standards. Qualifications Bachelor's degree holder in Management, Finance, Accounting or equivalent courses Has at least 6 years of experience in data engineering in a customer or business facing capacity Has experience in Data Migrations projects, Data Cleansing and structures Has experience working with a variety of different types of databases such as MS SQL Server, MySQL, Oracle and cloud databases Proficient with big data pipelines and data warehousing architectures Has a strong understanding of data modelling, data structures, databases, and ETL processes Has an in-depth understanding of large-scale data sets, including both structured and unstructured data Has the ability to understand and articulate requirements to technical and non-technical audiences With knowledge and experience on the following: BI tools (Power BI/Tableau), Python, Big Data Good analytical, communication, interpersonal, and presentation skills Location: Makati, PH Setup: Hybrid Schedule: Morning By Applying, you give consent to collect, store, and/or process personal and/or sensitive information for the purpose of recruitment and employment may it be internal to Cobden & Carter International and/or to its clients. #J-18808-Ljbffr
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