• Lead the architecture, assessment, and modernization of enterprise Snowflake data platforms. • Define current-state and target-state architectures across data ingestion, transformation, storage, orchestration, governance, security, and consumption. • Lead inventories and assessments of Python-, SQL-, and stored-procedure-based pipelines, classifying workloads by business criticality, frequency, volume, runtime, reliability, and cost. • Analyze Snowflake usage telemetry to establish cost and performance baselines across pipelines, warehouses, and workloads. • Identify architectural and engineering anti-patterns, including procedural row-by-row processing, unnecessary full refreshes, missing incremental patterns, redundant transformations, warehouse mis-sizing, and insufficient workload isolation. • Recommend modernization strategies using set-based processing, incremental data patterns, Dynamic Tables, Streams and Tasks, Snowpark, dbt, and appropriate orchestration technologies. • Design scalable data models, governed data domains, semantic layers, and context models that support analytics and AI use cases. • Architect Snowflake Cortex solutions using capabilities such as Cortex Analyst, Cortex Search, and Cortex LLM functions. • Establish architectural standards for security, access control, data governance, lineage, observability, performance, resilience, and business continuity. • Design data lakehouse and real-time data-processing architectures across AWS, Azure, or GCP. • Evaluate and recommend appropriate use of Snowflake Iceberg Tables and other open data architecture patterns. • Build prioritized optimization backlogs and sequenced delivery roadmaps based on business impact, technical risk, cost, performance, and implementation effort. • Provide technical leadership across multiple concurrent projects and guide engineers, analysts, QA specialists, and DevOps teams. • Support project planning, estimation, scope definition, dependency management, risk mitigation, and technical governance. • Lead discovery workshops and interviews with client stakeholders and subject-matter experts. • Present architecture decisions, assessment findings, quantified impact projections, and roadmap recommendations to technical and executive audiences. • Act as a trusted advisor to clients throughout architecture and delivery engagements. • Create and maintain architecture diagrams, decision records, technical standards, and platform documentation.

Role Description AECOM has an exciting opportunity for a Pipeline Rehabilitation Discipline Lead to remotely join our Water team. The candidate will work and learn directly from one of AECOM's globally recognized pipeline design experts and with a diverse team of regional technical leaders and project managers across delivering water conveyance infrastructure consulting services to our key clients. The position includes work on the evaluation, design, rehabilitation, and condition assessment of water, wastewater, and underground pipeline infrastructure systems. This includes supporting trenchless rehabilitation solutions, structural rehabilitation technologies, and the evaluation and design of municipal water and wastewater conveyance systems. You will support the team through various measures and resources that will be available to you. AECOM offers full life-cycle solutions for water infrastructure projects—from planning and condition assessment through design, rehabilitation, construction support, and asset management. Our experts integrate engineering knowledge with responsive and cost-effective project management, strong communication skills, and an understanding of industry standards and client objectives. - Provides technical leadership for a specialty and is considered to be a fully capable professional in their field. - Applies intensive and diversified knowledge of engineering principles and practices in broad areas of assignments and related fields. - Makes decisions independently on technical problems and methods and represents the organization in conferences. - Resolves important questions and plans and coordinates work. - Requires the use of advanced techniques and the modification and extension of engineering theories, practices, and related disciplines to develop innovative solutions for water infrastructure projects. - Collaborate with pipeline design experts to develop and review design and construction plans, specifications, and cost estimates on projects from planning through design and construction services for projects related to pipeline failure analysis, pipeline rehabilitation and new installation. - Provide technical guidance to AECOM project teams and mentor junior and intermediate-level staff. - Provide quality assurance and technical reviews for deliverables across the conveyance practice. - Provide engineering leadership on design-bid-build and collaborative delivery projects. - Technical writing, reviewing, and providing clear, concise input to investigations, memorandums, or engineering reports and documentation. - Stay current on industry trends and advancements in pipeline design and engineering. - Participation in relevant industry organizations, including writing white papers and delivering presentations. - Support project pursuits by contributing technical approaches, scope development, cost estimates, risk assessments, and proposal content. - Support regional Strategy and Growth Leads with client engagement where applicable to expand the Conveyance business across the Pacific Northwest market. - Collaborate with regional leadership to establish market positioning, service differentiation, and technical value propositions that strengthen competitive advantage. - Leverage industry relationships and professional networks to enhance market visibility and generate new business opportunities. Qualifications - BA/BS + 10 years of related experience or demonstrated equivalency of experience and/or education. - Candidate must be a U.S. Citizen or permanent resident and reside within the U.S. Mainland. - Successful candidate will have to pass a background check. - Professional Engineering (PE) license. Requirements - Bachelor's Degree in Civil Engineering, Structural Engineering, Environmental Engineering, or a related engineering discipline. - 15+ years of experience in water and wastewater infrastructure engineering, pipeline rehabilitation, or underground utility systems. - Experience with municipal water and wastewater infrastructure design, rehabilitation, condition assessment, or trenchless technologies. - Experience providing technical leadership on complex engineering projects and serving as a subject matter expert. - Experience collaborating with municipalities, utilities, contractors, and multidisciplinary engineering teams. - PE license in multiple states. Benefits - Medical, dental, vision, life, AD&D, disability benefits. - Paid time off, leaves of absences, voluntary benefits. - Perks, flexible work options, well-being resources. - Employee assistance program, business travel insurance. - Service recognition awards, retirement savings plan, employee stock purchase plan.

Role Description We are looking for an Analytics Data Engineer to design, build, and maintain the curated data products that power reporting, analytics, and strategic decision-making across the organization. This role is responsible for transforming raw and operational data into trusted, business-ready datasets, semantic models, and analytical assets that enable self-service analytics and enterprise reporting. The Analytics Data Engineer owns the Silver, Gold, and Semantic layers of the analytics platform and serves as the bridge between foundational data engineering and business intelligence. Working closely with Data Engineers, BI Developers, Strategic Insights Analysts, and business stakeholders, this role ensures that data is governed, consistent, scalable, and aligned with business definitions and reporting requirements. Remote location. 15% travel. Qualifications - 5+ years of experience in analytics engineering, data engineering, business intelligence, or related disciplines. - Advanced SQL and data modeling expertise. - Oracle and IQMS a plus. - Experience designing dimensional models, semantic models, and analytical data products. - Strong understanding of medallion architecture concepts (Bronze, Silver, Gold). - Experience building and maintaining enterprise reporting datasets. - Ability to translate business requirements into scalable technical solutions. - Experience working with cross-functional business and analytics teams. - Strong communication, documentation, and problem-solving skills. Requirements - Analytics Engineering - Data Quality and Governance - Analytics Platform Support

• Design, build, and maintain scalable data pipelines (batch and streaming) • Develop and optimize data models in a modern cloud data warehouse • Build robust ELT/ETL workflows and manage orchestration (e.g., Airflow, Dagster, or similar) • Partner with analytics, product, and engineering teams to deliver clean, trusted datasets • Implement data quality checks, monitoring, and alerting across pipelines • Handle sensitive data responsibly and help uphold privacy and compliance standards (e.g., HIPAA-aligned practices) • Contribute to the evolution of the platform's overall data architecture