Job Type: Full-time

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. - Solid 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

📌 Data Architect (Bengaluru)
🏢 NR Consulting
📍 Bengaluru