Enterprise Data Architect (GCP)

66degrees; Singapore; Remote; SGD 100,000 - 140,000; Full time

Job summary

A leading consulting firm is seeking an Enterprise Data Architect in Singapore to design and oversee data engineering and cloud architecture solutions. Candidates should have 12-15 years of IT experience and strong expertise in cloud technologies like Google Cloud Platform. This role includes responsibilities in data governance, customer engagements, and leading large-scale projects, offering great growth opportunities in a dynamic environment.

Qualifications

• 12-15 years of total experience in IT, with a minimum of 3 years in an Enterprise Data Architect capacity.
• Strong expertise in data and cloud technologies, with hands-on experience in data architecture.
• Proven track record of designing and implementing large-scale, complex systems.

Responsibilities

• Design and oversee enterprise-wide Data engineering and cloud architecture-based solutions.
• Lead and participate in large-scale projects integrating solutions across cloud and data engineering.
• Engage in customer-facing roles, including presales activities and project delivery.

Skills

Data architecture

Cloud technologies

Data modeling

SQL

Python

Communication

Leadership

Tools

Google Cloud Platform

dbt

Snowflake

Kafka

Job description

Overview of

66degrees is a leading consulting and professional services company specializing in developing AI-focused, data-led solutions leveraging the latest advancements in cloud technology. With our unmatched engineering capabilities and vast industry experience, we help the world's leading brands transform their business challenges into opportunities and shape the future of work.

At 66degrees, we believe in embracing challenges and winning together. These values guide us in achieving our goals as a company and for our people. We are dedicated to creating a significant impact for our employees by fostering a culture that sparks innovation and supports professional and personal growth.

Overview of Role

Work Location: Bengaluru, Pune, or Remote (within India)

We are seeking an experienced Enterprise Data Architect to join our team, focusing on Data engineering, Data Analytics/Visualization, and cloud engineering. The ideal candidate will play a crucial role in shaping our technology landscape, participating in project delivery, and contributing to presales activities during lean periods.

Responsibilities

1. Design and oversee enterprise-wide Data engineering, Data modeling, Data Analytics, and cloud architecture-based solutions.
2. Lead and participate in large-scale projects, integrating solutions across cloud, data engineering, Analytics practices.
3. Engage in customer-facing roles, including presales activities and project delivery.
4. Develop robust data governance frameworks, ensuring compliance with regulations like GDPR, CCPA, or other industry standards.
5. Collaborate with cross-functional teams to ensure alignment of technology solutions with business objectives.
6. Stay current with emerging technologies and industry trends, particularly in cloud computing.
7. Build reusable assets, frameworks, and accelerators to enhance delivery efficiency.
8. Participate in and potentially lead architectural reviews and governance processes.
9. Contribute to the development of architectural standards, guidelines, and best practices.
10. Travel as required, particularly to the UK, for customer engagements and project work.

Qualifications

1. 12-15 years of total experience in IT, with a minimum of 3 years in an Enterprise Data Architect capacity.
2. Strong expertise in data and cloud technologies, with hands-on experience in data architecture, cloud migrations, and modern data platforms.
3. Knowledge of design patterns and architectural styles.
4. Experience with data modeling and database design.
5. Experience with Google Cloud Platform is a MUST; has used Google products on the data side; multi-cloud expertise is a plus.
6. Proven track record of designing and implementing large-scale, complex systems.
7. Familiarity with modern data tools, such as dbt, Snowflake, and Kafka, as well as proficiency in SQL and Python.
8. Excellent communication skills, with the ability to convey complex technical concepts to both technical and non-technical audiences.
9. Strong leadership and mentoring skills.

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