Reve - Senior Data Architect - Artificial Intelligence

<p></p><p>We are seeking an experienced Senior Data Architect (AI) to design, implement, and optimize enterprise-grade data architectures that power our Artificial Intelligence (AI) and Machine Learning (ML) initiatives.<br/><br/>The ideal candidate will be responsible for defining data strategies, building scalable pipelines, ensuring data quality, and enabling advanced analytics and AI-driven decision-making across the organization.<br/><br/>This is a senior-level role requiring deep technical expertise, architectural vision, and the ability to collaborate with cross-functional teams including Data Engineers, Data Scientists, ML Engineers, and Business Stakeholders.</p><br/><p><b>Key Responsibilities :</b></p><p><b><br/></b></p><p><b>Data Architecture & Strategy :</b></p><p><br/></p><p>- Design and implement end-to-end enterprise data architectures to support AI/ML use cases.</p><p><br/></p><p>- Define data models, metadata standards, and data integration frameworks for structured, semi-structured, and unstructured data.<br/><br/></p><p>- Establish a roadmap for modern data platforms, ensuring alignment with AI-driven business strategies.<br/><br/></p><p>- Lead data modernization initiatives including migration to cloud-native platforms.</p><br/><p><b>Data Engineering & Pipeline Management :</b></p><p><br/></p><p>- Architect and oversee development of data pipelines for ingestion, transformation, and storage of large-scale datasets from multiple sources.</p><p><br/></p><p>- Ensure pipelines are optimized for real-time and batch AI/ML workloads.<br/><br/></p><p>- Define standards for data versioning, reproducibility, and feature store management for ML </p><p>models.</p><br/><p></p><p><b>Data Governance & Security :</b></p><p><br/></p><p>- Implement data governance frameworks ensuring compliance with security, privacy, and regulatory requirements (GDPR, HIPAA, etc.</p><p><br/></p>- Establish best practices for data quality, lineage, cataloging, and stewardship.<br/><br/><p></p><p>- Enforce role-based access controls and encryption for sensitive datasets used in AI & Leadership :</b></p><p><br/></p><p>- Partner with Data Scientists and ML Engineers to ensure models have reliable, scalable, and clean data.</p><p><br/></p>- Collaborate with business stakeholders to translate requirements into technical data architecture solutions.<p><br/></p><p>- Mentor junior data engineers/architects and guide teams on AI-ready data design & Optimization :</b></p><p><br/></p><p>- Ensure data platforms and architectures are scalable, cost-efficient, and optimized for AI workloads.</p><p><br/></p>- Evaluate emerging tools, frameworks, and vendors in the data & AI ecosystem.<br/><br/><p></p><p>- Drive proof-of-concepts (POCs) for new technologies and guide enterprise adoption.</p><br/><p><b>Required Technical Skills :</b></p><p><br/></p><p>- Data Architecture & Modeling : Dimensional modeling, data lakes, lakehouse, data warehouse design (Snowflake, Redshift, BigQuery, Synapse).</p><p><br/>- Big Data & Distributed Systems : Spark, Hadoop, Databricks, Kafka, Flink.<br/><br/>- Cloud Platforms : AWS (Glue, Redshift, S3, SageMaker), Azure (Synapse, Data Factory, ML Studio), GCP (BigQuery, Dataflow, Vertex AI).<br/><br/>- Databases : Relational (PostgreSQL, MySQL, Oracle), NoSQL (MongoDB, Cassandra, DynamoDB), Graph DBs (Neo4j).<br/><br/>- AI/ML Integration : Experience with ML model lifecycle, feature stores (Feast, Tecton), and - MLOps frameworks.<br/><br/>- Programming/Scripting : SQL, Python, PySpark, Scala.<br/><br/>- Data Governance Tools : Collibra, Alation, Informatica, Apache Atlas.<br/><br/>- DevOps & Automation : CI/CD pipelines, Terraform, Kubernetes, Docker for deploying scalable data solutions.</p><br/><p><b>Soft Skills :</b></p><p><br/></p><p>- Strong problem-solving and analytical thinking with a strategic mindset.</p><p><br/>- Excellent communication skills to articulate technical concepts to non-technical stakeholders.<br/><br/>- Leadership qualities with experience managing cross-functional technical teams</p><br/><p></p> (ref:hirist.tech)