Data Architect

Responsibilities:

Data Architecture and Strategy

• 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

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