Cloud Data Architect

CARET brings the latest in technology and automation to over 10,000 legal and accounting firms, empowering highly skilled professionals to refocus their expertise on what truly matters. CARET harnesses powerful and secure practice management, document automation, and payment processing to take firms, professionals, and their clients further. 

Our team-defined values guide how we show up for each other, for our partners, and for our customers: 

• We succeed together. 
• We embrace progress. 
• We care big. 
• We create space. 

The role 

Are you a dynamic and visionary Cloud Data Architect with a desire to make a difference and be a key player in shaping our future of CARET Cloud Data Analytics? 

Are you hands-on with managing cloud data technologies related to Data Analytics, Big Data, Data Warehouses, and Data Lakes? 

We want you to join our growing engineering team, where you will unleash your innovation, strategic thinking, and technical prowess to revolutionize how we store, manage, and analyze data in the cloud. 

You’ll be working on building a cloud data platform that will allow our customers and partners access to tools and technologies that utilize data in the unprecedented way to provide actionable insights into their business. 

If you thrive in a fast-paced, rapidly changing team environment and have an unquenchable passion for cutting-edge technologies, then this role is for you!

Requirements

• Bachelor’s degree in computer science, Information Systems, or a related discipline. 

• Highly skilled with hands-on experience and domain expertise in both data and analytics technologies as well as cloud-native data architecture design and best practices 

• 7+ years of experience in Data Engineering with expert-level hands-on experience as a data architect or solution architect. 

• 7+ years of experience in designing, developing, and maintaining the data architecture, data models and standards for various Data Integration & Data Warehousing projects. 

• 3+ years of experience in implementing Snowflake advanced concepts like setting up resource monitors, RBAC controls, data sharing, virtual warehouse sizing, query performance tuning, Zero copy clone, and time travel 

• 3+ years of people management experience is a plus. 

• Hands-on experience either with Microsoft Azure or AWS. 

• Building data warehouses for data visualization and reporting tools such as PowerBI using real time or near time synchronization. 

• In depth knowledge and solid Experience with Microsoft Fabric components is a plus. 

• Hands-on experience with Snowflake utilities such as SnowSQL, SnowPipe, and SlowAlert is a plus. 

• Expert in data pipeline design, engineering, and implementation of data lake, warehouse, and Lakehouse architecture. 

• Experience with data processing and workflow frameworks like Apache Beam, Spark, PySpark, Apache Kafka, and Apache Airflow. 

• Solid understanding of business intelligence enterprise and Cloud-native architectures. 

• Possessing the following certifications is a plus: 

• Microsoft Certified: Azure Data Engineer Associate 

• Microsoft Certified: Azure AI Engineer Associate 
• Microsoft Certified: Azure Solutions Architect Expert 
• Microsoft Certified: Data Analyst Associate (Power BI) 
• Snowflake Certified Professional 
• SnowPro Certification 

Responsibilities 

· Provide leadership, mentorship, and guidance for software development teams onshore and offshore in architecting, designing, building, documenting, and testing software solutions for CARET platform and product offerings. 

· Collaborate extensively with our Product team to ensure a unified vision and continued improvements to the platform and multiple products. 

· Drive engineering teams to adapt secure data and analytics best practices and assist teams with data security architecture and design. 

· Guide engineering teams on optimal data architectures and to ensure databases are optimized for data visualization tools. Create, publish, maintain and influence the data warehouse patterns across development and architecture community. 

· Own, manage and execute the Data and Analytics technology roadmap consisted of the data and analytics strategy, as well as the technical implementation of scalable data and analytics platform and product rollouts. 

· Assist in the creation of product roadmaps as well as sprint and release planning by participating and leading team grooming sessions and helping teams provide work effort estimations. 

· Participate in the architecture discovery track to proactively manage technical risks across teams, platform, and products as they relate to all data and analy