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Hello Connections
We have an Urgent Hiring for a "Lead/Senior Azure Fabric Data Engineer in Atlanta, GA (Hybrid 3 Days a Week)
Lead/Senior Azure Fabric Data Engineer
Atlanta, GA (Hybrid 3 Days a Week)
W2/FT Preferred
Below is the Job Description.
As a Lead Data Engineer, you will play a pivotal role in designing and managing modern data infrastructure. You will help shape and execute the data strategy that enables trusted, scalable, and high-performing solutions across the organization. Your work will directly support the mission to deliver data-driven wealth management services through innovation, governance, and collaboration.
Key Responsibilities:
- Define, document, and manage the enterprise data strategy, including schema design, SLAs, data contracts, security, and compliance.
- Evangelize best practices across data architecture and data engineering disciplines, particularly in wealth management and financial services domains.
- Lead and grow a high-impact data engineering team responsible for platform performance, CI/CD, and operational excellence.
- Own the implementation roadmap for continuous improvements, including Azure/Fabric-based modernization, compliance, and cost optimization.
- Ensure robust platform reliability through automated test cases for performance, security, and scalability.
- Partner cross-functionally with analytics, business, and technology teams to align on architecture, governance, and delivery timelines.
- Manage and optimize ingestion, transformation, and curation of large-scale structured and unstructured datasets.
- Develop reusable data components and pipelines to support enterprise reporting, BI, and advanced analytics.
- Champion DataOps, metadata management, monitoring, alerting, and data quality frameworks.
- Advocate for scalable modeling practices including semantic layer design and preferred Data Vault 2.0 methodology for enterprise architecture.
Required Skills & Expertise:
- Strong leadership, communication, and cross-team collaboration skills.
- Extensive experience building data platforms in Microsoft Azure, including tools like Azure Synapse, Data Lake, Data Factory, and Microsoft Fabric.
- Demonstrated success delivering data engineering solutions in the wealth management or financial services industry.
- Expertise with modern architectural concepts: Lakehouse, Data Mesh, Data Fabric, and ELT/ETL orchestration.
- Proven ability to deliver analytical data products across domains such as Finance, Product, Sales, and Marketing.
- Hands-on experience with data modeling, data cataloging, lineage tracking, and governance.
- Proficient in CI/CD, Agile methodologies, and working within enterprise-scale cloud environments.
- Preferred experience with Data Vault 2.0 modeling for building scalable, auditable data systems.
- Familiarity with Salesforce, Yardi, and other domain-specific systems is a plus.
Education & Experience:
- 12+ years in IT with a focus on data engineering, systems design, or data architecture.
- 5+ years in a data architect or lead engineer capacity with increasing responsibility.
- Bachelor s degree in computer science, Information Systems, or a related field (master s preferred).
Preferred Qualifications:
- Strong architectural knowledge of Microsoft Fabric and Azure-native analytics stack.
- Microsoft Azure Certification or similar cloud credentials.
- Familiarity with applying AI/ML frameworks to business problems is a plus.
- Strong ability to interpret and present data-driven insights to stakeholders at all levels.
[About Ccube]
Ccube: Pioneering Data-Driven Solutions in the Cloud
Ccube is a specialized firm that delivers measurable results across a wide range of industries by
focusing exclusively on Data and Artificial Intelligence within Cloud environments. We leverage
cutting-edge technologies and innovative strategies to help our clients harness the power of data
and achieve their business objectives.
Core Competencies:
Strategic Planning and Design of Data Systems: We collaborate with our clients to develop
comprehensive data strategies and design robust data systems that align with their business
goals. Our team of experts provides guidance on data architecture, data governance, and data
management best practices.
Development and Unification of Data Frameworks: We build and integrate data frameworks
that enable seamless data flow and analysis. Our solutions facilitate data ingestion, data
transformation, and data storage, ensuring data is readily available for business intelligence and
decision-making.
Advanced Data Analysis and Artificial Intelligence Applications: We employ sophisticated
data analysis techniques and artificial intelligence algorithms to extract valuable insights from
data. Our solutions include predictive modeling, machine learning, and natural language
processing, enabling our clients to make data-driven decisions and optimize their operations.
Cloud Computing, Data Operations, and Machine Learning Operations: We leverage the
scalability and flexibility of cloud computing to deliver efficient and cost-effective data solutions.
Our team of experts manages data operations and machine learning operations, ensuring
seamless integration and optimal performance.
Organizational Principles at Ccube:
At Ccube, we are guided by a set of core principles that shape our culture and drive our success:
Efficiency: We strive to maximize efficiency by optimizing resource utilization and streamlining
processes.
Client Satisfaction: We are committed to providing exceptional service and exceeding our clients'
expectations.
Innovation: We embrace innovation and continuously explore new technologies and approaches
to deliver cutting-edge solutions.
Humility: We maintain professional modesty and recognize that there is always room for
improvement.
Employee Advantages:
Ccube offers a stimulating and rewarding work environment with numerous benefits for our
employees:
Dynamic Startup Environment: We provide a fast-paced and entrepreneurial environment where
employees can learn, grow, and make a significant impact.
Career Growth Opportunities: We offer ample opportunities for career advancement and
professional development.
Performance-Based Incentives: We reward high-performing employees with competitive
compensation and performance-based bonuses.
Equity Participation: We offer equity participation options to eligible employees, providing them
with ownership and a stake in the company's success.
Professional Development Reimbursement: We encourage continuous learning and reimburse
employees for eligible professional development expenses.
Join Ccube and be part of a team that is shaping the future of data and AI in the cloud.