Data Architect

3 days ago

Bethlehem, United States Smart IT Frame LLC Full time

Experience Level: 10 to 12 years

Note: 100% remote

Domain: Lifescience or Pharma


We are seeking a highly skilled and experienced Data Architect with data Modeling skills and well versed with standards and best practices in data architecture to join our dynamic team.


Required Skills: Best Practices and Standards in Data Architecture, Data Modelling , SQL,PL/SQL ,RDBMS/ETL Background

Nice to have skills: Technology: -Exposure to Bigdata AWS


Architecture, build standards and best practices, Design and develop complex data models that meet the business requirements and support the organization data architecture. Collaborate with business stakeholders, data architects, and IT teams to understand data requirements and translate them into logical and physical data models. Implement and optimize data models for performance, scalability, and reliability. Participate in the full data modeling lifecycle, including requirements gathering, model design, implementation, testing, and maintenance. Develop and maintain data dictionaries, metadata repositories, and data modeling standards. Provide guidance and support to other team members on data modeling best practices and methodologies. Perform data analysis and profiling to ensure data quality and to identify data issues and discrepancies. Work closely with data engineers, data analysts, and other stakeholders to ensure the successful implementation and integration of data models.

Qualifications: Bachelors degree in Computer Science, Information Technology, or a related field. Minimum of 5 years of experience in data modeling, with a strong understanding of data modeling techniques and methodologies. Good to have experience in implementing large CRM systems and integrating data from various systems. Strong knowledge of SQL and database management systems (e.g., Oracle, SQL Server, MySQL). Experience with data integration tools and technologies (e.g., ETL tools, data warehouses, data lakes). Familiarity with CRM platforms (e.g., Salesforce, Microsoft Dynamics) and their data architecture. Excellent analytical, problem-solving, and communication skills. Ability to work independently and as part of a team in a fast-paced environment.

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