Data Architect(GCP)

Overview of 66degrees

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 the challenge and winning together

These values not only guide us in achieving our goals as a company but also 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 along the way

Overview Of Role

We are seeking an experienced Data Architect to design, develop, and maintain our google cloud data architecture

The ideal candidate will have a strong background in data architecture, data engineering, and cloud technologies, with experience in managing data across google cloud platforms

Responsibilities

GCP Cloud Architecture: Design, implement, and manage robust, scalable, and cost-effective cloud-based data architectures on Google Cloud Platform (GCP), leveraging services like BigQuery, Cloud Dataflow, Cloud Pub/Sub, Cloud Storage, Cloud DataProc, Cloud Run, and Cloud Composer

Experience designing cloud architectures on Oracle Cloud is a plus

Data Modeling: Develop and maintain conceptual, logical, and physical data models to support various business needs

Big Data Processing: Design and implement solutions for processing large datasets using technologies such as Spark and Hadoop

Data Governance: Establish and enforce data governance policies, including data quality, security, compliance, and metadata management

Data Pipelines: Build and optimize data pipelines for efficient data ingestion, transformation, and loading

Performance Optimization: Monitor and tune data systems to ensure high performance and availability

Collaboration: Work closely with data engineers, data scientists, and other stakeholders to understand data requirements and provide architectural guidance

Innovation: Stay current with the latest technologies and trends in data architecture and cloud computing

Qualifications

GCP Core Services: In-depth knowledge of GCP data services, including BigQuery, Cloud Dataflow, Cloud Pub/Sub, Cloud Storage, Cloud DataProc, Cloud Run, and Cloud Composer

Data Modeling: Expertise in data modeling techniques and best practices

Big Data Technologies: Hands-on experience with Spark and Hadoop

Cloud Architecture: Proven ability to design scalable, reliable, and cost-effective cloud architectures

Data Governance: Understanding of data quality, security, compliance, and metadata management

Programming: Proficiency in SQL, Python, and DBT (Data Build Tool)

Problem-Solving: Strong analytical and problem-solving skills

Communication: Excellent written and verbal communication skills

A Bachelor’s degree in Computer Science, Computer Engineering, Data or related or equivalent work experience required

GCP Professional Data Engineer or Cloud Architect certification is a plus

66degrees is an Equal Opportunity employer

All qualified applicants will receive consideration for employment without regard to actual or perceived race, color, religion, sex, gender, gender identity, national origin, age, weight, height, marital status, sexual orientation, veteran status, disability status or other legally protected class

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