Data Architect

5 months ago

Hanoi, Vietnam GSM - Xanh SM Full time

GSM - Xanh SM

***
- Symphony Office Building, Vinhomes Riveside, Long Bien, Ha Noi- At office- Posted 17 minutes ago- Skills:

- Database

SQL

Cloud

**Job description**:
**About Us**:
XanhSM is a leading innovator in the ride-hailing industry, committed to providing 5 stars, green, and smart transportation services. Our platform leverages cutting-edge technology to offer seamless experiences for both drivers and passengers. We are looking for a talented Data Architect to join our team and drive our data initiatives to the next level.

**Job Overview**:
As a Data Architect at XanhSM, you will be responsible for designing, building, and managing our data infrastructure. You will work closely with cross functional teams, including data scientists, to ensure data is collected, stored, and processed efficiently, enabling data-driven decision-making across the organization. Your expertise will be crucial in shaping the future of our data ecosystem and supporting our growth and innovation.

**Key Responsibilities**:

- Design and implement scalable, secure, and high-performance data architectures that meet the needs of our ride-hailing platform.
- Develop and maintain data models, data flows, and data integration processes.
- Collaborate with software engineers, data engineers, and data scientists to optimize data pipelines and ensure data quality and integrity.
- Implement data governance practices, including data cataloging, data lineage, and metadata management using tools like Google Data Catalog.
- Manage and optimize data storage solutions, including Google BigQuery and PostgreSQL RDS (AWS).
- Ensure data security and compliance with industry standards and regulations, leveraging AWS and Google Cloud security best practices.
- Lead efforts to streamline data access and usage across the organization, including integration with tools like Google Sheets and Power BI.
- Stay current with industry trends and emerging technologies, evaluating their potential impact on our data architecture.
- Work with data scientists to develop and deploy machine learning models using frameworks like TensorFlow.

**Your skills and experience**:

- Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field.
- Proven experience as a Data Architect, Data Engineer, or similar role in a technology
- driven company.
- Strong expertise in database management systems, data warehousing solutions, and big data technologies.
- Hands-on experience with Google Cloud Platform (GCP) services, including BigQuery, Pub/Sub, and Dataflow.
- Familiarity with AWS services, especially RDS and security features.
- Proficient in SQL and experience with data modeling tools and techniques.
- Experience with data integration tools and ETL processes, particularly using Google Datastream.
- Knowledge of data governance frameworks and tools, including Google Data Catalog.
- Experience with business intelligence tools such as Power BI and Metabase.
- Excellent problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.
- Strong project management skills and the ability to lead cross-functional teams.
- Knowledge of big data processing frameworks such as Hadoop or Spark.
- Experience with machine learning frameworks like TensorFlow and collaboration with data scientists.

**Preferred Qualifications**:

- Experience in the ride-hailing or transportation industry.
- Knowledge of machine learning and data analytics techniques.
- Certification in Google Cloud or AWS data services.

**Why you'll love working here**:

- Competitive salary and performance-based bonuses.
- Comprehensive health, dental, and vision insurance.
- Flexible working hours and remote work options.
- Professional development opportunities and continuous learning support.
- Employee discounts on ride-hailing services.

**GSM - Xanh SM**:
Green and Smart Mobility
- Company type
- Non-IT
- Company industry
- Non-Profit and Social Services- Company size
- 501-1000 employees
- Country
- Vietnam- Working days
- Monday - Friday
- Overtime policy
- No OT

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