Tasks:
- Formulate and communicate the organization's data strategy, including data quality standards, data flow, and data security measures
- Provide a standard common business vocabulary, express strategic data requirements, and outline high-level integrated designs to meet these requirements
- Define and implement data governance policies, procedures, and frameworks to ensure data integrity and compliance
- Collaborate with stakeholders to align data strategy with business goals and objectives, document current and target state in the form of business process and data journey diagrams
- Design and develop conceptual, logical, and physical data models that meet business requirements and align with the overall data strategy
- Define data standards, naming conventions, and data classification guidelines. Ensure data models are scalable, efficient, and optimized for performance
- Evaluate and select appropriate database technologies and solutions based on organizational needs and requirements
- Design and oversee the implementation of data platforms, including relational databases, NoSQL databases, data warehousing, and Big Data solutions
- Optimize database performance, ensure data security, and implement backup and recovery strategies
- Design data integration solutions, including Extract, Transform, Load (ETL) processes and data pipelines, document source to target mappings
- Collaborate with IT team and data experts to identify opportunities for data acquisition
- Understand and follow data architecture patterns for various types of data systems, e.g. data lakehouse platforms, master data management systems, ML-enriched data flows
- Implement data profiling and data cleansing processes to identify and resolve data quality issues
- Establish data quality standards and implement processes to measure, monitor, and improve data quality
- Facilitate discussions and workshops to gather requirements and align data initiatives with business goals, prepare data inventory documentation
- Communicate complex technical concepts effectively to both technical and non-technical stakeholders
- Stay abreast of industry trends and emerging technologies in data management, analytics, and security
- Evaluate and recommend new tools, technologies, and frameworks to enhance data architecture capabilities
- Provide guidance and support to developers and other team members on data-related topics
- Conduct knowledge-sharing sessions and training programs to promote understanding and adoption of data architecture best practices
Requirements:
- Proven experience as a Data Architect or in a similar role, ideally in a complex organizational setting
- Strong understanding of data management principles, data modeling techniques, database design, and data integration flows
- Experience in developing and implementing data governance policies, procedures, and frameworks to ensure data integrity and compliance
- Familiarity with industry best practices and emerging trends in data management and governance
- Ability to design and develop conceptual, logical, and physical data models that meet business requirements and align with the overall data strategy
- Strong understanding of data modeling best practices, e.g. data normalization, denormalization, generalization, and performance optimization techniques
- Expertise in working with various database technologies, such as relational databases (e.g., Oracle, SQL Server, MySQL) and NoSQL databases (e.g., MongoDB, Cassandra, DynamoDB)
- Knowledge of database management systems, data warehousing, data integration technologies, and Big Data solutions
- Familiarity with cloud-based database, warehouse, and lakehouse platforms
- Experience in designing and implementing data integration solutions, including Extract, Transform, Load (ETL) processes and data pipelines, understanding of data integration patterns and best practices
- Knowledge of data security and privacy regulations, such as GDPR or CCPA, and understanding of data encryption, access controls, and data masking techniques to ensure the security of sensitive data
- Familiarity with data profiling, data cleansing, data harmonization, and data quality assessment techniques
- Understanding of Business Intelligence and data analytics requirements, optimization of data storage and processing for reporting needs
- Excellent communication and presentation skills to effectively articulate complex technical concepts to both technical and non-technical stakeholders
- Ability to collaborate with cross-functional teams, including business analysts, developers, and data scientists, to understand requirements and drive data-related initiatives
- Strong analytical and problem-solving abilities to identify data-related issues, propose solutions, and make data-driven decisions
- Professional certification in data management or related field would be advantageous
Offer:
- Stable employment. On the market since 2008, 1400+ talents currently on board in 7 global sites.
- “Office as an option” model. You can choose to work remotely or in the office.
- Flexibility regarding working hours and your preferred form of contract.
- Comprehensive online onboarding program with a “Buddy” from day 1.
- Cooperation with top-tier engineers and experts.
- Unlimited access to the Udemy learning platform from day 1.
- Certificate training programs. Lingarians earn 500+ technology certificates yearly.
- Upskilling support. Capability development programs, Competency Centers, knowledge sharing sessions, community webinars, 110+ training opportunities yearly.
- Internal Gallup Certified Strengths Coach to support your growth.
- Grow as we grow as a company. 76% of our managers are internal promotions.
- A diverse, inclusive, and values-driven community.
- Autonomy to choose the way you work. We trust your ideas.
- Create our community together. Refer your friends to receive bonuses.
- Activities to support your well-being and health.
- Plenty of opportunities to donate to charities and support the environment.
- Great Place to Work Certified Employer in the Philippines
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