• Prepare, develop, and coordinate detailed architectural documentation throughout the Design Development, Tender, Construction Certificate, and Construction phases. • Produce high-quality working drawings, specifications, schedules, and documentation packages using Revit. • Ensure all documentation complies with the National Construction Code (NCC), Australian Standards, SEPPs, LEPs, and other relevant NSW planning regulations. • Coordinate architectural documentation with consultants and internal project teams to maintain consistency and technical accuracy. • Review and maintain documentation quality while resolving design coordination and technical issues throughout project delivery. • Support construction-stage documentation, RFIs, revisions, and project updates as required. • Manage multiple project deliverables while meeting deadlines and maintaining high attention to detail. • Communicate effectively with project stakeholders and contribute practical, solution-focused recommendations throughout each project phase.

Role Description We are looking for an experienced Senior Solution Architect with deep expertise in Databricks and modern data engineering technologies to lead the design, architecture, and implementation of scalable data platforms. The ideal candidate will work closely with customers to understand their business objectives, translate requirements into technical solutions, and deliver high-performance, cloud-based data platforms. As a trusted technical advisor, you will provide architectural guidance, mentor engineering teams, and ensure best practices in data engineering, data governance, and platform optimization. Qualifications - 10+ years of overall experience in Information Technology. - 6+ years of hands-on experience designing and implementing solutions using Databricks. - Proven experience in architecting enterprise-scale data platforms and analytics solutions. Requirements - Collaborate with customers, business stakeholders, and technical teams to gather requirements and design scalable data platform architectures. - Design and implement modern Data Lakehouse solutions using Databricks. - Develop and optimize scalable data ingestion, transformation, and processing pipelines using Apache Spark. - Define and implement data architecture following Medallion (Bronze, Silver, Gold) architecture principles. - Lead solution design discussions, technical workshops, and architecture reviews with customers. - Provide technical leadership and mentor development teams on Databricks best practices and modern data engineering techniques. - Optimize Spark workloads for performance, scalability, and cost efficiency. - Design secure, reliable, and highly available data solutions with appropriate governance and monitoring. - Work closely with cross-functional teams including Data Engineers, Data Scientists, DevOps, and Cloud Architects to deliver end-to-end solutions. - Identify opportunities for platform optimization, automation, and continuous improvement. - Support pre-sales activities by providing technical consulting, solution presentations, architecture diagrams, and effort estimations when required. Benefits - Strong hands-on expertise in Databricks. - Strong programming skills in Python and SQL. - Extensive experience with Apache Spark (PySpark/Spark SQL). - Solid understanding of Data Lake and Lakehouse architectures. - Experience implementing Medallion Architecture (Bronze, Silver, Gold layers). - Expertise in designing and maintaining scalable ETL/ELT pipelines. - Strong knowledge of data modeling, partitioning, optimization, and performance tuning. - Experience working with structured, semi-structured, and unstructured data. - Good understanding of data quality, governance, and security best practices. - Familiarity with CI/CD practices, version control (Git), and Agile methodologies. Preferred Skills - Experience with cloud platforms such as Microsoft Azure, AWS, or Google Cloud Platform. - Knowledge of Delta Lake, Unity Catalog, Delta Live Tables, Databricks Workflows, and MLflow. - Experience integrating Databricks with cloud-native data services and orchestration tools. - Understanding of streaming technologies and real-time data processing. - Experience with Infrastructure as Code (Terraform or similar) is a plus. - Databricks or cloud certifications are highly desirable. Soft Skills - Excellent customer-facing and stakeholder management skills. - Strong analytical and problem-solving abilities. - Excellent verbal and written communication skills. - Ability to lead technical discussions and influence architectural decisions. - Strong collaboration and mentoring capabilities. - Ability to manage multiple priorities in a fast-paced environment. What You'll Bring - A customer-first mindset with the ability to translate business requirements into scalable technical solutions. - Strong architectural thinking with expertise in modern data platforms. - Passion for building reliable, high-performance, and cost-effective data solutions. - Ability to work independently while collaborating effectively across distributed teams.

Role Description We are seeking an experienced Architect to join our team and support the delivery of active New South Wales projects, with a primary focus on technical documentation and project delivery rather than concept design. The successful candidate will play a key role in producing and coordinating comprehensive documentation packages throughout the Design Development (DD), Tender, Construction Certificate (CC), and Construction phases. - This role is ideal for an architect with strong NSW multi-residential documentation experience, advanced Revit skills, and preference for technical delivery-focused work. - Experience in seniors living or residential aged care will be especially valuable. - Prepare, develop, and coordinate detailed architectural documentation throughout the Design Development, Tender, Construction Certificate, and Construction phases. - Produce high-quality working drawings, specifications, schedules, and documentation packages using Revit. - Ensure all documentation complies with the National Construction Code (NCC), Australian Standards, SEPPs, LEPs, and other relevant NSW planning regulations. - Coordinate architectural documentation with consultants and internal project teams to maintain consistency and technical accuracy. - Review and maintain documentation quality while resolving design coordination and technical issues throughout project delivery. - Support construction-stage documentation, RFIs, revisions, and project updates as required. - Manage multiple project deliverables while meeting deadlines and maintaining high attention to detail. - Communicate effectively with project stakeholders and contribute practical, solution-focused recommendations throughout each project phase. Qualifications - Bachelor's or Master's degree in Architecture or a related discipline. - Minimum of 5 years' experience delivering architectural projects, preferably within NSW multi-residential, mixed-use, or seniors living developments. - Proven experience preparing and coordinating technical documentation across DD, Tender, CC, and Construction stages. - Advanced proficiency in Autodesk Revit is essential. - Strong knowledge of the National Construction Code (NCC), Australian Standards, SEPPs, LEPs, and NSW planning regulations. - Experience producing coordinated working drawings, specifications, and schedules. - Excellent communication, coordination, organizational, and problem-solving skills. - Ability to work independently while collaborating effectively within multidisciplinary project teams. - Proficiency in Adobe Creative Suite is highly desirable. - Previous experience in seniors living or residential aged care projects is considered a strong advantage.

Role Description We are seeking a Big 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. Requirements - 8+ years of experience. - 100% Remote (Continental United States). - Full-time, direct W2 with Bright Vision Technologies (no C2C, no 1099, no third-party). - No new H1B sponsorship available. H1B transfers welcomed for qualified candidates. - Technical coding assessment is mandatory. Benefits - Competitive base salary commensurate with experience. - Benefits included. How to Apply For immediate consideration, please send your resume to [email protected] or contact us at (908) 505-3545.