Data Architect

To proceed further , let me know the below details – Mention years of experience and Certification Details

Certified Data Management Professional (CDMP) or equivalent.
Experience in Data Architecture and Data Engineering.
Experience in architecting data solution across hybrid (cloud, on premise) data platforms with various cloud platforms (CRM, ERP, BI, AWS, etc.).
Experience with data cloud solutions such as Common Data Model, Microsoft Azure - Data Lake, Data Factory, Data Bricks, or similar.
Experience with architecting data warehouse and plans for data ETL transformation (extract, transform and load) processes and the supporting technologies such as Amazon Glue, EMR, Azure Data Factory, Data Lake and other analytics products.
Proven expertise in designing data platforms for large-scale data and diverse data architectures, including warehouses, lake houses, and integrated data stores ∙ Open to proficiency in a variety of technologies: for example: SQL, Bash, Python, Java, Presto, Spark, AWS, DataOps, DevSecOps, and the like.
Experience with data security (including PHI and PII), as well as data privacy regulations (CCPA and GDPR).

What You’ll Need

Technical Requirements and Certifications »

Certified Data Management Professional (CDMP) or equivalent.

Education and Experience »

Bachelor's or Master's degree in Computer Science or equivalent.
10+ years of Data Architecture and Data Engineering experience.
5+ years’ experience in architecting data solution across hybrid (cloud, on premise) data platforms with various cloud platforms (CRM, ERP, BI, AWS, etc.).
Experience with data cloud solutions such as Common Data Model, Microsoft Azure - Data Lake, Data Factory, Data Bricks, or similar.
Experience with architecting data warehouse and plans for data ETL transformation (extract, transform and load) processes and the supporting technologies such as Amazon Glue, EMR, Azure Data Factory, Data Lake and other analytics products.
Proven expertise in designing data platforms for large-scale data and diverse data architectures, including warehouses, lake houses, and integrated data stores ∙ Open to proficiency in a variety of technologies: for example: SQL, Bash, Python, Java, Presto, Spark, AWS, DataOps, DevSecOps, and the like.
Experience with data security (including PHI and PII), as well as data privacy regulations (CCPA and GDPR).

Knowledge, Skills And Abilities »

Proficient in addressing data-related challenges through analytical problem-solving and aligning data architecture with organizational business goals and objectives.
Exposure to analytics techniques using ML and AI to assist data scientists and analysts in deriving insights from data.
Analytical and problem-solving skills to address data-related challenges and find optimal solutions.
Ability to manage projects effectively, plan tasks, set priorities, and meet deadlines in a fast-paced environment.
Ability to define and manage data models for transactional and reporting needs.

What You’ll Do

Job Responsibilities:

Develop and evolve the enterprise-wide data strategy to support delivery of transformation objectives.
Establish guidelines, controls, and processes to make data available for developing scalable data-driven solutions for Analytics.
Build a framework of principles to ensure data integrity across the business (including but not limited to ERP, CRM, BI, Data warehouse, external interfaces etc.).
Build and maintain appropriate Data Architecture artefacts including Entity Relationship Models, Data dictionary, taxonomy to aid data traceability.
Collaborate with internal departments to define the strategic data architecture vision, roadmap, and improve processes, data detail, and business applications.