Role Description This role will lead the long-term strategic planning, optimization and governance of Adobe Real-Time CDP, including integrations with other platforms and data providers across the enterprise. The ideal candidate combines deep technical expertise with stakeholder-enablement experience and a passion for data-driven personalization and AI-enabled marketing. Main Responsibilities - Platform Ownership & Strategy - Lead architectural strategy, implementation, and ongoing optimization of Adobe CDP within Adobe Experience Platform. - Define and evolve data governance, identity resolution, and audience segmentation strategies in support of Growth Marketing efforts. - Drive innovation and roadmap development for AI-ready capabilities across the platform. - Cross-Functional Collaboration - Coordinate cross-functional support across other engineers and technical resources using AEP and AEM products. - Foster cross-functional collaboration with Marketing, analytics, IT, and external partners. - Integration & Activation - Oversee integration of Adobe CDP with Salesforce, Customer Journey Analytics, Adobe Journey Optimizer, and external data sources (e.g., Demandbase, ZoomInfo). - Design and implement data ingestion pipelines using Adobe APIs, ETL tools, and native connectors. - Ensure seamless activation of audiences across paid media, owned channels, and CRM. - Governance & Compliance - Enforce best practices in data privacy, security, and compliance (GDPR, CCPA). - Maintain high standards for data quality, schema design (XDM), and identity graph configuration. - Optimization & Personalization - Support Adobe Target implementations for A/B testing, multivariate testing, and automated personalization. - Collaborate with UX, content, and analytics teams to define hypotheses and test variants. - Monitor performance, analyze results, and iterate based on insights. Qualifications - 5+ years of experience in Adobe Experience Platform and Adobe CDP. - Proven track record in leading technical teams and delivering enterprise-scale personalization solutions. - Deep understanding of Real-Time Customer Profile, Data Distiller, Segment Builder, Identity Graph, and Activation workflows. - Strong experience with Salesforce integration and third-party data platforms (Demandbase, ZoomInfo). - Proficiency in data modeling (SQL, JSON), XDM schema, and cloud architectures (Adobe Experience Cloud, AWS, Azure). - Familiarity with front-end technologies (JavaScript, HTML, CSS) and tag management (Adobe Launch). Preferred Qualifications - Adobe certifications (e.g., Adobe Target Business Practitioner, Adobe CDP Architect). - Experience with Adobe Target. - Experience with AI/ML models in marketing use cases. - Knowledge of marketing automation platforms and campaign orchestration tools. - Experience integrating Adobe stack with other enterprise platforms (Salesforce, DemandBase, LeanData). - Working knowledge of API endpoints supporting the individual tools, including both ingestion and feed mechanisms. - Familiarity with Agile/Scaled Agile methodologies. Compensation - Location Based Pay Ranges: - $105,786 - $141,047 in states: AL, AR, AZ, FL, GA, IA, ID, IN, KS, KY, LA, ME, MO, MS, MT, ND, NE, NM, OH, OK, PA, SC, SD, TN, UT, VT, WI, WV, WY - $111,074 - $148,099 in states: CO, HI, MI, MN, NC, NH, NV, OR, RI - $116,364 - $155,152 in states: AK, CA, CT, DC, DE, IL, MA, MD, NJ, NY, TX, VA, WA Benefits - Comprehensive package featuring a broad range of Health, Life, Voluntary Lifestyle benefits and other perks that enhance your physical, mental, emotional and financial wellbeing.

• Design, develop, and maintain comprehensive benchmarking frameworks spanning OS, kernel, and application layers. • Profile workloads across CPU, memory, I/O, network, and accelerator (GPU/NPU) subsystems to identify bottlenecks and optimization opportunities. • Establish and own performance baselines across CIQ's product and solutions portfolio. • Leverage AI-assisted tooling and agentic workflows to accelerate profiling, analysis, and root cause identification. • Build and maintain automated performance regression-detection pipelines integrated into CI/CD workflows using Fuzzball. • Identify, triage, and resolve regressions across user space, kernel space, and application layers with urgency and rigor. • Collaborate across engineering teams to root-cause regressions introduced by upstream kernel changes, compiler updates, or library modifications. • Drive proactive performance improvements - not just reactive fixes - to keep CIQ solutions ahead of the competition across every layer of the stack. • Own core operating system performance: kernel subsystem tuning (scheduler, memory management, I/O, networking), system call overhead reduction, and user space library and runtime optimizations. • Identify and implement kernel-level enhancements, including patches, configuration changes, and upstream contributions that yield measurable performance gains for CIQ's customer workloads. • Optimize for AI inference and training workloads, including LLM serving, model parallelism, and accelerator utilization. • Tune performance for HPC workloads, including modeling, simulation, and tightly coupled parallel applications (MPI, OpenMP, etc.). • Optimize general computing and service workloads - web services, databases, messaging systems, and other production software that runs on CIQ's OS platform. • Work at all levels of the stack: compiler flags, kernel parameters, scheduler tuning, NUMA topology, memory allocation, and application-level algorithmic improvements. • Champion an AI-first engineering philosophy - use AI tools, agents, and automation to accelerate your own productivity and the quality of performance insights. • Identify and prioritize optimization opportunities that directly impact AI training throughput and inference latency/cost. • Stay current on state-of-the-art techniques in ML system performance, including quantization, batching strategies, kernel fusion, and hardware-software co-design. • Develop deep expertise in CIQ's Fuzzball platform - its architecture, scheduling, and workload execution model. • Integrate performance benchmarks, regression tests, and user-facing workloads into Fuzzball-based pipelines. • Contribute to the performance characterization of Fuzzball itself, ensuring the platform adds minimal overhead and scales efficiently. • Develop broad familiarity with the full CIQ product portfolio — including Rocky Linux and RLC (and its variants), Fuzzball, Apptainer (formerly Singularity), and Warewulf - understanding how performance considerations span and interconnect across each. • Collaborate deeply with the engineering teams behind each product line to surface, prioritize, and deliver performance improvements that benefit customers across the entire CIQ ecosystem. • Partner with product and customer success teams to translate real-world performance pain points into engineering priorities and measurable outcomes. • Document and communicate findings clearly - from low-level profiling data to executive-level summaries. • Contribute to technical publications, conference presentations, and thought leadership that reinforces CIQ's reputation for performance excellence.

Role Description The Sr. Controls Engineer – OT SCADA Projects leads the design, configuration, commissioning, and support of plant control systems for utility-scale solar, storage, and hybrid renewable energy projects. This engineer works with minimal oversight, applies expert knowledge of grid functionality and Utility/ISO standards, mentors junior engineers, and contributes to product standards. Approximately 80% of this role is project execution, while up to 20% is continuous improvement and product development. Responsibilities - Project Execution & Technical Delivery (~80%) - Lead end-to-end controls design for utility-scale solar, BESS, and hybrid projects – from initiation through commissioning and closeout. - Program and commission SEL controllers using AcSELerator; develop control logic in Codesys using IEC 61131-3 structured text. - Identify project-specific deviations from standard product scope during contracting, forecast and scope project-specific development work. - Implement and validate closed-loop Active Power and Reactive Power, AVR and PFR Algorithms. - Maintain version control for all code artifacts according to established version control procedure. - Troubleshoot complex SCADA and controls issues using Wireshark, breakpoints, cross-reference, and watch list tools. - Produce project deliverables: System Architecture Diagrams, Control Narratives, Logic Diagrams, commissioning documents, and operator manuals. - Product & Process Improvement (~20%) - Contribute to new feature development and bug fixes in collaboration with the Product Engineering team. - Review documentation prepared by junior controls engineers (technical and non-technical). - Lead the Continuous Improvement and Lessons Learned program, feed field insights back into product standards and templates. - Coach junior engineers through FAT preparation and customer-facing presentation. - Stakeholder Communication & Collaboration - Serve as primary controls technical contact for EPCs, asset owners, and grid operators through project execution, FAT, and commissioning. - Lead FATs as formal presentations; communicate to non-technical audiences with supporting materials prepared in advance. - Flag technical risks and schedule pressures to management with context and proposed solutions. - Maintain Jira tickets daily with thorough detail; enforce Jira best practices with junior engineers. Expectations & Success Indicators - Deliver high-quality work independently across multiple concurrent projects with ownership and urgency. - Leverage standardized platforms and tools; avoid project-specific one-off engineering approaches. - Ensure 100% adherence to Terabase quality processes; enforce standards with junior engineers. - Mentor junior controls engineers through technical guidance, code review, and FAT coaching. - Project deliverables completed on time, within scope, and meeting Utility/ISO regulatory standards. - Jira, version control, and documentation consistently maintained without follow-up from management. - Recognized internally and externally as the go-to technical authority on Terabase SCADA and OT controls. - Travel up to 10% for on-site commissioning, FAT, and customer engagements. Qualifications - Bachelor’s degree in Engineering, Computer Science, Technology, or related field. - 3-5+ years of IEC 61131-3/PLC programming experience, preferably in Codesys or AcSELerator environment. - 3+ years of utility-scale power plant controls experience (solar, BESS, or hybrid). Requirements - Expert IEC 61131-3 programming; primary tooling is AcSELerator (SEL controllers) and Codesys, including Diagram Builder, traces, breakpoints, and watch lists. - Extensive knowledge of industrial protocols: Modbus-TCP, DNP3, OPC-UA, etc. - Expert knowledge of grid functionality: PFR, AVR, Reactive Power, Voltage Regulation, and Capacitor Banks – including the underlying grid rationale, not just controller behavior. - Proficiency with Utility/ISO testing and interconnection requirements (ERCOT, PJM, BPA, IEEE 2800, NERC, etc.). - Experience with Power Plant Controller (PPC) design, configuration, and commissioning. - Familiarity with PSCAD, PSSE, and/or TSAT modeling processes for utility-scale sites. Benefits - Generous time off and holiday policy. - Remote flexibility. - Flexible time off. - Comprehensive benefits package. - Career progression. - 401k match. - Stock options. - Home office set up allowance. - And much more!

• Analisar e migrar pipelines e notebooks (Spark/Databricks) • Refatorar ou reescrever processos para: SQL / Dataform e Dataflow • Criar transformações no BigQuery + Dataform • Construir camadas: Silver (Trusted) e Gold • Garantir qualidade, deduplicação e padronização • Implementar ingestão com: Dataflow (Apache Beam) para eventos (Kafka/Event Hubs)Datastream (CDC) • Trabalhar com a persistência de dados na camada Raw utilizando tabelas Iceberg gerenciadas pelo BigLake. • Provisionar recursos com Terraform (IaC) • Gerenciar pipelines com CI/CD (GitHub Actions) • Seguir modelo deIngestion Factory e repositórios por domínio • Implementar testes no Dataform • Garantir: Catalogação e linhagem (Dataplex) Compartilhamento seguro (Analytics Hub)