Bachelor's or Master's degree in Computer Science, Data Science, or a related field., Proven experience as a Data Architect or similar role for 5+ years., Strong knowledge of ETL processes, data warehousing, and big data technologies., Expertise in SQL, NoSQL, and cloud-based databases like AWS or Azure..
Key responsibilities:
Design and create data models for effective information storage and retrieval.
Develop and implement data infrastructure, including data warehousing and analytics systems.
Establish data standards and ensure data quality and integrity.
Lead and execute data migrations to new systems or platforms.
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We are a WBENC and NMSDC certified company helping our clients in their Diversity spending on Staffing or Contingent Workforce Services. Established in 2002 and headquartered out of Princeton-NJ, our 2000+ associates’ strength globally helps clients with talent across Technology, Healthcare, Life Sciences, Aerospace, Automotive, Energy, Pharmaceuticals, Retail, Telecom, Manufacturing and Engineering domains. Our presence in USA, Canada & India helps us support clients in IT, Non-IT, Healthcare, Hospital and Clinical hiring, across the globe.
Role: Data Architect Duration: 9 months Location: Remote in US
Top 3 skills:
Proven experience as a Data Architect, Data Engineer, or similar role (5+ years)
2.Strong knowledge of ETL processes, data warehousing, and big data technologies including creating and successfully executing data migration
Experience leading a team of 3 or more direct reports
Job Description & Requirements:
Designing and creating data models to effectively store and retrieve information.
Developing and implementing the overall data infrastructure, including data warehousing and analytics systems.
Establishing and enforcing data standards, policies, and procedures to ensure data quality and integrity.
Identify list of Data Items for conversion
Identify Data attributes (fields) for each item
Create/Update data templates
Create/Update data load steps
Implementing and managing data security measures to protect sensitive information
Designing integrations between different data sources to create a unified view of data
Work with other teams, including development, business, and data engineering to align data infrastructure and business needs
Ensure adherence to data governance principles and standards
Managing and organizing metadata to improve data discoverability and usability
Leading, Planning and executing data migrations to new systems or platforms
Monitoring and optimizing the performance of data systems and infrastructure
Skill and Experience Requirements:
Bachelor's or Master's degree in Computer Science, Data Science, or a related field or equivalent work experience
Proven experience as a Data Architect, Data Engineer, or similar role (5+ years)
Expertise in SQL, NoSQL, and cloud-based databases (e.g., AWS, Azure, Google Cloud).
Strong knowledge of ETL processes, data warehousing, and big data technologies.
Familiarity with data visualization tools (e.g., Tableau, Power BI).
Excellent problem-solving and communication skills.
Experience leading a team of 3 or more direct reports
Familiarity with ETL tools and ELT frameworks for data transformation and loading
Experience with cloud platforms like AWS, Azure, or Google Cloud Platform.
Proficiency in SQL, Python, and potentially other languages like Java or Scala.
Experience with various database systems, including relational databases (SQL), NoSQL databases, and data warehousing solutions.
Understanding of data warehousing concepts, technologies, and best practices.
Ability to design and implement data models to support business needs.
Understanding of data governance principles and security best practices.
Knowledge of software engineering principles, such as design patterns, version control, and testing methodologies.
Excellent troubleshooting, analysis and problem-solving skills
Ability to effectively prioritize and escalate issues as required
Excellent written and verbal communication skills
Detailed, organized, and results-oriented
Ability to multi-task and perform effectively under pressure
Ability to work effectively in a fast paced, high energy, team-oriented environment.
Strong communication skills- Client facing
Preferred Qualifications:
Salesforce certifications
Salesforce Certified Data Architect, Salesforce Administrator)
Understanding of Manufacturing and/or Supply Chain Business processes is preferred but not required
Certifications in Data Architecture, Cloud Computing, or Database Management
Experience with big data technologies and AI-driven data solutions
Knowledge of data privacy regulations (e.g., GDPR, CCPA)
Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.
Required profile
Experience
Spoken language(s):
English
Check out the description to know which languages are mandatory.