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ing process to ensure data consistency.
Ø Design data models that support efficient data storage, retrieval, and analysis.
Ø Implement data governance policies and procedures to maintain data quality and security.
Ø Stay abreast of emerging data technologies and trends to continuously improve the data architecture
Ø Provide technical leadership and mentorship to engineer teams.
Ø Collaborate with cross-functional teams to understand business requirements and translate them into data solutions.
Qualifications
Qualifications:
Ø Bachelor's degree in computer science, Information Technology, Data Science, Statistics, or a related field. Master's degree preferred.
Ø 3+ years of experience in data architecture, data engineering, AI/ML engineering, or related role.
Ø Strong knowledge on data platform, ETL process, and data lake, data warehouse, etc.
Ø Proficient in big data technologies such as Hadoop, Spark, Kafka and NoSQL database.
Ø Familiar with data modeling tools and techniques.
Ø Strong problem-solving skills, with the ability to identify trends, patterns, and correlations from complex datasets.
Ø Excellent communication and interpersonal skills.
Ø Ability to work independently and collaboratively in a fast-paced, collaborative environment.
Ø Experience with cloud-based data solutions especially MS data lakehouse solutions is preferred.
Ø Certification in data architecture or data engineering is preferred