Enter a job title or keyword
Data Architect
Job Location:
Monthly Salary:
Posted:
24 October 2026 (3 hours ago)
Posted:
Application Deadline:
21 January 2027
Application Deadline:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
Job Title: Data Architect
Experience: 10 years
Job Description:
Key Responsibilities:
- Data Leadership: Define and drive the data architecture and AI strategy aligned with the organizations goals emphasizing data-driven decision-making and enhancing operational efficiency.
- Architecture Design: Lead the design and deployment of scalable efficient data architectures that support advanced analytics reporting and machine learning applications.
- Integration Solutions: Oversee the development of integration strategies to ensure seamless data flow between various IT systems and analytics platforms.
- Data Governance & Compliance: Implement and enforce data governance frameworks ensuring compliance with regulatory standards such as FedRAMP and HITRUST and promoting data integrity security and quality.
- Collaboration with Stakeholders: Work closely with enterprise architects data scientists analysts and IT teams to understand data requirements provide architectural guidance and ensure successful project execution.
- Emerging Technology Assessment: Assess and recommend new technologies that can enhance data architecture and analytics particularly in healthcare applications.
- Documentation and Standards: Develop comprehensive documentation for data architecture standards best practices and processes to be followed by internal teams.
- Mentorship and Team Development: Mentor and guide data architects and engineers fostering a culture of continuous learning and innovation within the data team.
Experience:
- 10 years of experience in data architecture roles.
Technical Skills:
- Expertise in data engineering frameworks and tools such as Apache Spark Apache Kafka and Airflow.
- Deep understanding of relational NoSQL and vector databases including SQL Server Oracle Teradata PostgreSQL MongoDB Cassandra SingleStore and Pinecone.
- Proficiency in data warehousing solutions like Snowflake Amazon Redshift Google BigQuery and Databricks.
- Strong experience with ETL processes and tools such as Apache NiFi Talend Informatica and Mulesoft.
- Familiarity with microservices architecture and tools like BFF Spring JDK MERN or MEAN stack is a plus.
- Knowledge of healthcare data interoperability frameworks like HL7 V2 HL7 V3 FHIR and SNOMED is a plus.
- Experience with machine learning frameworks (e.g. Python Keras TensorFlow) and Generative AI Large Language Models and retrieval-augmented generation solutions (e.g. GPT Llama2 Claude 2) is advantageous.
- Familiarity with big data technologies such as Hadoop and Spark is a plus.
Collaboration Skills:
- Proven ability to work with cross-functional teams driving data initiatives from design to execution.
Responsible Use of AI:
- Familiarity with data privacy and ethical considerations surrounding AI implementations.
Analytical Mindset:
- Strong analytical and problem-solving abilities with a focus on generating actionable insights from complex datasets.
Communication Skills:
- Excellent verbal and written communication skills with the ability to convey complex data concepts to both technical and non-technical stakeholders.
Qualifications:
- Bachelors degree in Computer Science Engineering or related fields (Masters degree preferred).
- Advanced certifications in architecture such as TOGAF or cloud-specific certifications (AWS/Azure/GCP Solutions Architect).
- Advanced certifications in data management including CDMP Cloud Data Architect and Snowflake Architect certifications.
Experience: 10 years
Job Description:
Key Responsibilities:
- Data Leadership: Define and drive the data architecture and AI strategy aligned with the organizations goals emphasizing data-driven decision-making and enhancing operational efficiency.
- Architecture Design: Lead the design and deployment of scalable efficient data architectures that support advanced analytics reporting and machine learning applications.
- Integration Solutions: Oversee the development of integration strategies to ensure seamless data flow between various IT systems and analytics platforms.
- Data Governance & Compliance: Implement and enforce data governance frameworks ensuring compliance with regulatory standards such as FedRAMP and HITRUST and promoting data integrity security and quality.
- Collaboration with Stakeholders: Work closely with enterprise architects data scientists analysts and IT teams to understand data requirements provide architectural guidance and ensure successful project execution.
- Emerging Technology Assessment: Assess and recommend new technologies that can enhance data architecture and analytics particularly in healthcare applications.
- Documentation and Standards: Develop comprehensive documentation for data architecture standards best practices and processes to be followed by internal teams.
- Mentorship and Team Development: Mentor and guide data architects and engineers fostering a culture of continuous learning and innovation within the data team.
Experience:
- 10 years of experience in data architecture roles.
Technical Skills:
- Expertise in data engineering frameworks and tools such as Apache Spark Apache Kafka and Airflow.
- Deep understanding of relational NoSQL and vector databases including SQL Server Oracle Teradata PostgreSQL MongoDB Cassandra SingleStore and Pinecone.
- Proficiency in data warehousing solutions like Snowflake Amazon Redshift Google BigQuery and Databricks.
- Strong experience with ETL processes and tools such as Apache NiFi Talend Informatica and Mulesoft.
- Familiarity with microservices architecture and tools like BFF Spring JDK MERN or MEAN stack is a plus.
- Knowledge of healthcare data interoperability frameworks like HL7 V2 HL7 V3 FHIR and SNOMED is a plus.
- Experience with machine learning frameworks (e.g. Python Keras TensorFlow) and Generative AI Large Language Models and retrieval-augmented generation solutions (e.g. GPT Llama2 Claude 2) is advantageous.
- Familiarity with big data technologies such as Hadoop and Spark is a plus.
Collaboration Skills:
- Proven ability to work with cross-functional teams driving data initiatives from design to execution.
Responsible Use of AI:
- Familiarity with data privacy and ethical considerations surrounding AI implementations.
Analytical Mindset:
- Strong analytical and problem-solving abilities with a focus on generating actionable insights from complex datasets.
Communication Skills:
- Excellent verbal and written communication skills with the ability to convey complex data concepts to both technical and non-technical stakeholders.
Qualifications:
- Bachelors degree in Computer Science Engineering or related fields (Masters degree preferred).
- Advanced certifications in architecture such as TOGAF or cloud-specific certifications (AWS/Azure/GCP Solutions Architect).
- Advanced certifications in data management including CDMP Cloud Data Architect and Snowflake Architect certifications.
Required Experience:
Staff IC
About Company
About Us NR Consulting is your premier partner, delivering unmatched staffing and cutting-edge technology solutions tailored to your unique business needs. We take pride in connecting leading organizations with top-tier…
