Chief Data Architect
3 days ago
About Our Client
Key tech player in the local scene.
Strategy & Leadership:- Determine the overall direction for data engineering within the organization, incorporating best practices and emerging trends.
- Act as the primary point of contact for senior management on key data engineering initiatives and solution delivery, ensuring alignment with business objectives.
- Prioritize projects, allocate resources effectively, and oversee project execution with regular status reporting to stakeholders.
- Lead the design and implementation of automated data pipelines for data ingestion, processing, and transformation using Big Data tools like Apache Spark, Talend, Kafka, and Airflow.
- Ensure robust, scalable, and efficient pipelines adhering to industry standards.
- Analyze bottlenecks in data processing systems and implement optimization strategies to enhance performance.
- Implement monitoring mechanisms to measure data quality based on predefined business rules.
- Stay updated on emerging data engineering trends and lead the adoption of relevant technologies to drive innovation.
- Mentor and manage a team of data engineers, fostering professional growth and promoting collaboration.
- Work closely with data science, analytics, and IT teams to ensure data engineering efforts align with organizational goals.
- Evaluate and implement data privacy regulations to protect sensitive information.
The Ideal Candidate
- Proven experience in people management and technical leadership (10+ years), with expertise in Java development (5-8 years).
- A strong background in ETL development, automated data pipeline design, and exposure to Big Data platforms and tools (8+ years).
- Proficiency in SQL, PL/SQL, and solving complex technical challenges.
- Experience with SDLC methodologies (waterfall, iterative, agile) and DevSecOps processes.
- Expertise in Tier 1 Data Engineering tools (e.g., Talend, Apache Spark, Kafka, Airflow).
- Knowledge of distributed computing, Hadoop concepts, and data governance best practices.
- Advanced technical and business acumen in software development and project management.
- Strong understanding of master data management and data engineering design principles.
What's on Offer
This is a unique opportunity to drive technology innovation in a data-driven environment and contribute to impactful data-driven initiatives.
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