Data Architect

66degrees is an end-to-end AI transformation partner that guides enterprises from complex business challenges to clear, quantifiable outcomes. Our company is the culmination of several successful firms, each a leader in its own right in cloud, artificial intelligence, and data. This convergence of talent and expertise is how we help businesses reach their own "inflection point," where chaotic data becomes a strategic asset, complexity becomes clarity, and AI becomes an engine for growth. Our ultimate vision is to be the catalyst for a future where every business operates as an intelligent enterprise, with autonomous systems unlocking human potential.

At 66degrees, we believe in thriving through challenges 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.

We are seeking an experienced Data Architect to design, develop, and maintain our Microsoft Azure data architecture. The ideal candidate will have a strong background in data architecture, data engineering, and cloud technologies, with experience in managing data across Microsoft Azure platforms.

• →GCP Cloud Architecture: Design, implement, and manage robust, scalable, and cost-effective cloud-based data architectures on Google Cloud Platform (GCP), leveraging services like Azure Synapse Analytics, Azure Data Factory, Azure Event Hubs, Azure Data Lake Storage (ADLS) Gen2, Azure Databricks, Azure Functions, and Azure Logic Apps. 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.

• Azure Core Services: In-depth knowledge of GCP data services, including Azure Synapse Analytics, Azure Data Factory, Azure Event Hubs, Azure Data Lake Storage (ADLS) Gen2, Azure Databricks, Azure Functions, and Azure Logic Apps.
• 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.
• Microsoft Certified: Azure Data Engineer Associate or Azure Solutions Architect Expert certification is a plus.
• A Bachelor’s degree in Computer Science, Computer Engineering, or related or equivalent work experience required.

As an AI transformation partner, 66degrees leverages intelligent solutions to enhance our recruitment experience. We utilize AI tools—including LinkedIn Recruiter’s Hiring Assistant and interview transcription technologies—to assist with sourcing, role analysis, and capturing interview highlights.

These tools augment our process, but we "Commit to Our Craft" by ensuring all final hiring decisions are made by our human Talent Team. By applying, you acknowledge the use of these technologies to help us "Win Together" in finding the best fit for our team.