• Shape and uphold the highest standards in healthcare nationwide. • Influence the quality and safety of healthcare organizations across the country. • Partner with internal industry experts to shape accreditation practices.

Role Description We are seeking a Cloud Data Architect to define and lead the architecture of our enterprise data platform, spanning ingestion, storage, processing, governance, and consumption layers. The role drives the strategic direction of data infrastructure, sets standards for data modeling and lifecycle management, and partners with data engineering, analytics, ML, and business stakeholders to deliver a coherent, scalable data foundation. The ideal candidate combines deep technical mastery of modern data platforms with strong architectural judgment, and has led data-platform programs of meaningful scope and complexity. Key Responsibilities - Define the target-state architecture of the enterprise data platform, including ingestion, storage, processing, and consumption layers. - Establish standards for data modeling, schema evolution, partitioning, file formats, and storage organization. - Architect lakehouse, warehouse, and streaming patterns leveraging technologies such as Snowflake, Databricks, BigQuery, Redshift, Iceberg, Delta Lake, or Hudi. - Design end-to-end data pipelines that balance latency, cost, reliability, and maintainability across batch and streaming workloads. - Lead the integration of governance, lineage, and catalog tools such as Collibra, Alation, Atlan, Unity Catalog, or DataHub. - Define security architecture including row- and column-level controls, masking, encryption, and identity-aware access patterns. - Partner with ML, BI, and product teams to ensure platform capabilities align with downstream consumption needs. - Establish data contract and data product principles to drive ownership, quality, and decoupling between producers and consumers. - Lead architecture reviews and provide guidance on pipeline and warehouse design proposals across teams. - Drive cost optimization and capacity planning across the data platform estate. - Design disaster recovery, multi-region, and high-availability strategies for critical data assets. - Mentor data engineers and architects on platform standards and emerging best practices. - Produce architecture artifacts including context diagrams, decision records, and reference patterns. - Stay current with data platform research, vendor offerings, and open-source ecosystem developments. Qualifications - Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related field. - Eight or more years of experience in data engineering, with significant time in architecture roles. - Deep expertise across at least two major data platforms such as Snowflake, Databricks, BigQuery, or Redshift. - Strong understanding of lakehouse architectures, modern table formats, and streaming systems. - Hands-on experience with Spark, Flink, or Kafka at production scale. - Strong data modeling expertise across dimensional, normalized, and data-vault patterns. - Experience implementing governance, lineage, and catalog capabilities. - Solid grasp of cloud platforms, networking, identity, and cost optimization. - Excellent communication, facilitation, and stakeholder management skills. - Track record of leading large data platform initiatives across teams. Preferred Qualifications - Experience with data mesh or data product architectures. - Familiarity with semantic layers such as dbt Semantic Layer, Cube, or LookML. - Exposure to regulated industries with strict data residency or audit requirements. - Cloud or platform certifications (Snowflake, Databricks, AWS, Azure, GCP). - Public talks or writing on data architecture. How to Apply Would you like to know more about this opportunity? For immediate consideration, please send your resume to [email protected] or contact us at (908) 676-4399. Learn more about Bright Vision Technologies at www.bvteck.com . Equal Employment Opportunity (EEO) Statement Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall. BV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees' ability to perform their job duties may result in disciplinary action up to and including termination of employment.

Role Description We are seeking an experienced Lead Python Engineer to design, build, and continuously enhance complex enterprise-grade applications, data-intensive services, and automation platforms. This is a hands-on engineering role focused on delivering robust, secure, and high-performance Python systems that operate reliably within distributed and mission-critical production environments. The ideal candidate will bring deep Python expertise combined with strong fundamentals in software architecture, data engineering, and operational support, and will partner closely with product, data, and infrastructure teams to translate ambiguous business problems into well-engineered technical solutions. You will be expected to think beyond surface-level fixes, identify root causes of complex issues, and proactively raise the engineering bar across the team. Key Responsibilities - Provide end-to-end design, development, and advanced technical troubleshooting for complex enterprise-grade Python applications. - Develop secure, high-quality, production-ready Python code and implement algorithms that perform reliably within distributed systems. - Produce architecture and design artifacts for complex applications, ensuring adherence to defined design constraints and performance requirements. - Develop and optimize data processing logic for large-scale datasets, including extraction, transformation, validation, and performance tuning. - Gather, analyze, and synthesize large and diverse datasets to support continuous improvement of applications and business processes. - Develop reporting mechanisms, dashboards, and data visualizations to support operational insights. - Identify hidden defects, performance bottlenecks, and architectural weaknesses, and implement improvements. - Contribute to engineering best practices, conduct peer code reviews, and mentor less-senior engineers. - Participate fully in Agile development cycles and CI/CD processes. - Collaborate closely with cross-functional stakeholders to clarify requirements and translate them into scalable technical solutions. - Support operational stability through structured incident response, debugging, and post-incident reviews. Qualifications - Bachelor’s degree in Computer Science, Engineering, or a related technical discipline. - Five or more years of applied Python development experience in enterprise-grade environments. - Strong experience building and maintaining large-scale production applications with significant uptime and reliability requirements. - Hands-on experience with relational database systems such as Oracle, MS SQL Server, PostgreSQL, or Sybase. - Strong understanding of the full software development lifecycle (SDLC). - Proven hands-on experience across system design, application development, automated testing, and operational support. - Strong working knowledge of data structures, algorithms, and computational efficiency. - Demonstrated experience debugging and maintaining complex, enterprise-level applications in production. - Solid understanding of Agile methodologies, CI/CD practices, application resiliency patterns, and secure coding standards. - Ability to manage multiple concurrent projects in dynamic environments while keeping stakeholders informed. - Strong written and verbal communication skills. Preferred Qualifications - Strong shell scripting skills in UNIX/Linux environments. - Solid grounding in mathematical and statistical concepts. - Hands-on experience with the Python data and ML ecosystem, including NumPy, Pandas, SciPy, Scikit-Learn, TensorFlow, and PyTorch. - Working exposure to AWS cloud services and cloud-native storage technologies such as S3, RDS, DynamoDB, and Glue. How to Apply Would you like to know more about this opportunity? For immediate consideration, please send your resume to [email protected] . Learn more about Bright Vision Technologies at www.bvteck.com . Equal Employment Opportunity (EEO) Statement Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall. BV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees' ability to perform their job duties may result in disciplinary action up to and including termination of employment.

• Cloud Architecture & Databricks Engineer role • Develop and manage AWS infrastructure • Create and manage Databricks on AWS • Collaborate with teams on AI-driven software development practices • Automate infrastructure and networking tasks • Build CI/CD pipelines for Databricks