Senior Enterprise Data Architect

TalentLynk; United States; Remote; USD 120,000 - 200,000; Full time

Job summary

A leading company in data management seeks a Senior Enterprise Data Architect. The role involves designing data solutions, maintaining data governance, and partnering with teams to implement effective data strategies. Candidates should hold a relevant Bachelor’s degree and 7+ years of experience in the field.

Qualifications

• 7 years of experience in database administration, application development, and data management.
• Experience in relational, big data modeling, and conceptual data modeling.

Responsibilities

• Design and maintain blueprints for data integration and asset control.
• Create technology road maps and ensure effective data solutions.
• Mentor team members and deliver data-driven decision support.

Skills

Snowflake

MuleSoft

Informatica

Gainsight

Salesforce

Education

Bachelor’s degree in computer science, information technology, or related field

Job description

Direct message the job poster from TalentLynk

Talent Acquisition Partner - Strategic and Enterprise Accounts | Recruitment Strategy

Job Title: Senior Enterprise Data Architect

Location: Remote

Key Skills Sets:- 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:-

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

· 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

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Contract

Job function

• Job function

  Information Technology

• Industries

  Information Services

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