SpotLIGHT of the job
You will join our team as a Senior Data Architect responsible for designing and governing the organization’s enterprise data architecture. This role is critical in establishing a scalable and solid foundation for data management, ensuring that data is trustworthy, secure, and directly aligned with business objectives. Your goal is to design the enterprise data ecosystem, including data lakes, warehouses, and modern data platforms, defining the strategy for how data will be integrated, governed, and utilized to drive analytics and innovation.
Responsibilities:
- Define Data Architecture: Design scalable, secure, and high-performing data architecture solutions aligned with business needs.
- Model Enterprise Data: Develop and maintain robust data models that support analytics, reporting, and operational needs.
- Lead Data Initiatives: Oversee the design and implementation of data pipelines, data warehouses, and lakehouse structures.
- Ensure Data Governance: Establish standards for data quality, metadata, lineage, and compliance.
- Collaborate Across Teams: Work closely with data engineers, analysts, domain experts, and business stakeholders to understand requirements and translate them into effective data solutions.
- Evaluate Technologies: Assess and recommend modern data platforms, tools, and frameworks to support the evolving data landscape.
- Promote Best Practices: Drive consistency in data modeling, architecture, and usage across the organization.
- Support Analytics & Reporting: Enable self-service analytics by ensuring data accessibility and integration with BI platforms (e.g., Power BI, Tableau).
- Mentor & Guide: Support junior team members with architectural guidance and knowledge sharing.
- Align with Strategy: Ensure architectural decisions support long-term business and technology strategy.
Skills & Experience:
We encourage you to apply even if you do not meet all the requirements. Your motivation and potential matter more than perfection:
- A bachelor's or master’s degree in computer science, data science, engineering, or a related field.
- You have several years of relevant experience in the design and implementation of data models for enterprise data warehouse initiatives.
- Experience leading projects involving data warehousing, data modelling, and data analysis.
- Proficient in languages such as Java, Python, C/C++, and tools like SQL, R, SAS, and Excel.
- Modern Data Architecture: Skilled in designing and implementing cloud-based solutions (AWS, Azure), real-time data streaming (e.g., Kafka, Dataflow), and modern data platforms (e.g., Snowflake, Databricks).
- Experience with SQL and NoSQL databases, and platforms such as Oracle, Hadoop, and Teradata.
- Data Modeling & Quality: Knowledge of entity-relationship modeling, metadata systems, and data quality techniques.
- Familiar with BI and ETL tools like Power BI, Tableau, and data integration platforms.
- Strategic & Architectural Thinking: Ability to align technical decisions with business needs and assess architecture options based on value delivery.
- You are a strong team player with the ability to convey complex ideas to diverse stakeholders, including senior management.
- You demonstrate adaptability and a drive to adopt emerging technologies, especially in ML/AI.
- Excellent analytical and troubleshooting skills; able to guide technical design to meet business objectives.
What we offer:
- Flexible working hours and a hybrid work model.
- Lunch Vouchers.
- Private Health Insurance.
- Transport Subsidy: Financial support to cover commuting costs for employees.