Senior Enterprise Data Architect (Data Profiling/Data Management)

Senior Enterprise Data Architect
Job Type: Contract to Hire (C2C)
Location: Fully Remote (EST Preferred)
Salary: 160 -180K

***GC & USC Onlyy***

Experience: 15+ years

[Key Responsibilities]
As an Enterprise Data Architect, you'll identify the data needs of the organization and design and
maintain blueprints based on those to assist in the guidance of data integration, control of data
assets and alignment of data investments with the business strategy. You'll document multiple
architectural models or views that show how the current and future needs of the organization will
be met in an efficient, sustainable, agile and adaptable manner.
● Create and evolve the technology road maps that define company data architectures and
enable a solid company data strategy
● Ensure data solutions are built for performance, fault tolerance and security with reusable
patterns
● Develop and share best practices for knowledge and data discovery to deliver impactful
data-driven decision support systems
● Form and define best practices for change management, source control and deployment
methodologies for big data solutions
● Identify and enable data capabilities across the company
● Design integrations with other data sources
● Research, analyze, and promote data standards to be used across the company
● Set and lead standards discussions among big data engineers, data scientists and other
team members across the business
● Architect data solutions
● Identify and implement build vs. buy strategies regarding technology
● Identify performance trends and work with teams to improve processes and procedures
● Partner with the business and appropriate teams to deliver road maps
● Work with the team to build a holistic view of the company's strategy, processes,
information and information technology assets
● Define best practices and internal guidelines
● Research new technologies
● Mentor team members and share best practices
● Capture program metrics

[Minimum Qualifications]
● Bachelor’s degree in computer science, information technology, software engineering or a
related field
● 7 years of experience in database administration, application development, data
integration, data modeling and data management
● 7 years of experience with relational data modeling, big data modeling, conceptual data
modeling and logical data modeling
● 5 years of experience with system architecture and normalization considerations
● Experience with enterprise architecture modeling languages or frameworks such as
ArchiMate, TOGAF, SOA or CMMI
● Experience with event streaming architecture pattern to design and implement real-time
data processing systems
[Key Requirements]
● Snowflake, MuleSoft, Informatica, Gainsight, Salesforce
● Data Modeling:- Master Data Management
● Data Lineage and Governance Data Lifecycle Management ETL/ELT Processes and
Tools:- Data Profiling and Cleansing
● Data Matching and Deduplication:- Data Enrichment, Customer 360

[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.