Senior Enterprise Data Architect

Ccube; United States; Remote; USD 120,000 - 170,000; Full time

Job summary

A leading tech company seeks a Senior Enterprise Data Architect to design and implement data solutions that align with business strategies. You will be responsible for data governance, architecture, and enhancing organizational data capabilities while collaborating with various teams. Ideal candidates will have extensive experience in data modeling and architecture, with a solid understanding of data integration processes.

Qualifications

• 7 years of experience in database administration, application development, data integration, data modeling and data management.
• 7 years of experience with relational, big data, conceptual, and logical data modeling.
• 5 years of experience with system architecture and normalization considerations.

Responsibilities

• Identify data needs and design blueprints for data integration.
• Create technology road maps that define company data architectures.
• Research and promote data standards across the company.

Skills

Snowflake

MuleSoft

Informatica

Gainsight

Salesforce

Education

Bachelor's degree in computer science

Master's degree in computer science

Job description

Job Title:Senior Enterprise Data Architect
Location:Remote
Long Term Project

Key Skills Sets:-Snowflake, MuleSoft, Informatica, Gainsight, Salesforce

Data Modeling:-
Master Data Management
Data Lineage and GovernanceData Lifecycle ManagementETL/ELT Processes and Tools:-
Data Profiling and Cleansing
Data Matching and Deduplication:-
Data Enrichment, Customer 360

Job Description:-
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.
About the Role
·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
Preferred Qualifications
·7 years of experience with data quality management, reference data management, master data management, ODS/graph management, enrichment and analytics, metadata management, integrations and service standards, data lakes or governance (architectural and technical)
·5 years of experience with building data solutions
·5 years of experience with inter-system communication strategies, including ESB and web services
·Master’s degree in computer science, information technology, software engineering or a related field preferred
·Knowledge of and experience with Open Group Standards
·Experience with Agile software development practices