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Data Center Site Selection Jobs

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Explore current data center site selection jobs. Use filters to narrow by work mode, employment type, experience and date posted.

Job Title Internship: Finance & Accounting - Group Consolidation & Reporting (non-thesis) Job Description Start Date : as soon as possible Duration: at least / 6 months Type: Internship (non-thesis) Weekly Presence: 40h Location: Amsterdam Internship: Finance & Accounting - Group Consolidation & Reporting (non-thesis) Assists in the planning and coordination of the quarterly press release and annual report process. This involves liaising with other teams within Royal Philips (e.g., Group Sustainability, Philips Design, Group Tax). Assists in XBRL filings for the Dutch Authority for the Financial Markets (AFM) and the US Securities and Exchange Commission (SEC). Retrieves and processes data from our financial system to our reporting tool. Assists in preparation and presentation of reports or findings for internal and external stakeholders, ensuring that all findings are presented with utmost accuracy and clarity. Analyzes data related to departmental projects, identifying significant trends, patterns, and anomalies, and delivering actionable recommendations that drive data-informed decision-making. Conducts research on relevant topics and areas by investigating current trends, industry best practices and competitive landscape to provide comprehensive insights and support the strategic direction of ongoing projects and initiatives. Participates in team meetings, contributing ideas and input, while also capturing detailed minutes that accurately reflect discussions, decisions, and action items, ensuring effective communication and follow-up within the team. Contribute to other ad hoc projects, such as GC&R team projects or process improvements projects. You are a part of The Group Consolidation and Reporting (GC&R) team, wh

SAPExcelaccounting
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Job Title Quality Project Manager Job Description We are looking for a Quality project manger who will play a key role in ensuring the successful delivery of complex, multidisciplinary projects. In this role, you’ll drive quality excellence across the entire project lifecycle analyzing data, preventing defects, guiding teams, and supporting continuous improvement. Your role: Review project data and metrics to spot quality issues, trends, and improvement opportunities. Initiates, plans, and executes projects, implements comprehensive quality control plans and procedures, ensuring they align with project objectives, and Philips' QMS standards Monitor project progress, detect deviations, and drive corrective actions to ensure on‑time delivery. Assess compliance, risks, and impact on project deliverables. Support teams with quality tools (e.g., FMEA) and translate them into actionable steps. Prepare clear quality reports and updates for stakeholders, highlighting risks and mitigation. Maintain accurate, accessible quality documentation for effective knowledge sharing. Identify root causes, propose solutions, and escalate complex issues when needed. Learn and apply new methodologies (Lean, Six Sigma) to enhance project quality. Support RCA and long‑term corrective actions to prevent recurrence. You're the right fit if: Bachelor's degree in business administration, Engineering, Management, Project Management, or a related fieldד. 8+ years leading in global cross-functional complex projects working in MedTech/ quality regulated environments Experience managing budgets Expertise in risk management and stakeholder engagement Experience driving organizational change and continuous improvement Experience working in AI creating agen

aiproject managementPMP
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Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. As emerging AI and data infrastructure ecosystems rapidly evolve across APAC, this role serves as a strategic bridge between regional market signals, customer technology direction, ecosystem developments, and internal business unit priorities. The role is responsible for identifying early technology inflection points, translating complex technical and ecosystem insights into actionable commercial strategies, and enabling proactive alignment across Sales, BU, and ecosystem stakeholders. This position plays a critical role in strengthening APAC’s ability to anticipate market transitions, shape future opportunities, and accelerate strategic growth initiatives ahead of industry shifts. Responsibilities Technology & Ecosystem Intelligence Identify emerging technology inflection points across AI, cloud, automotive, edge, and next-generation compute ecosystems Analyze ecosystem evolution, competitive landscape, and customer architecture trends across APAC Develop structured regional technology intelligence to support BU and Sales strategic planning

artificial intelligenceairecruitment
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D
Databricks
📍 United States• $180K – $247.5K/yr
1 day ago

CSQ427R35 PLEASE NOTE : Due to federal contract requirements and client site access obligations, U.S. citizenship is required to access classified information. Location: Remote (US-based) with up to 30% Travel At Databricks, we are on a mission to empower our customers to solve the world's toughest data problems by utilizing the Databricks Data Intelligence Platform. As a Delivery Solutions Architect (DSA), you will play an important role during this journey. You will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks Platform among our State, Local, and Education (SLED) customers. You will also help ensure customer success by increasing focus and technical accountability for our most complex customers who need guidance to accelerate usage of Databricks workloads they have already selected, helping them maximize the value they get from our platform and their return on investment. This is a hybrid technical and commercial role. It is commercial in the sense that you will drive growth in your assigned customers and use cases through leading your customers' stakeholders, building executive relationships, orchestrating other focused/specialized teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build upon. This is in parallel with being technical, with the expectation that you become the post-sale technical lead across all Databricks products. This requires you to utilize your skills and technical credibility to engage and communicate effectively with all levels of an organization. You will report directly to a DSA Manager within the Field Engineering organization. The impact you will have: Engage with Solutions Architects to understand the full use case demand plan for prioritized customers Lead the post-technical win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts Be the

pythonsqlai
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D
1 day ago

CSQ427R324 PLEASE NOTE : Due to federal contract requirements and client site access obligations, U.S. citizenship is required to access classified information. Location: Remote (US-based) with up to 30% Travel At Databricks, we are on a mission to empower our customers to solve the world's toughest data problems by utilizing the Databricks Data Intelligence Platform. As a Delivery Solutions Architect (DSA), you will play an important role during this journey. You will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks Platform in your customers. You will also help ensure customer success by increasing focus and technical accountability for our most complex customers who need guidance to accelerate usage on Databricks workloads that they have already selected, helping them maximize the value they get from our platform and the return on investment. This is a hybrid technical and commercial role. It is commercial in the sense that you will drive growth in your assigned customers and use cases through leading your customers' stakeholders, building executive relationships, orchestrating other focused/specialized teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build upon. This is in parallel with being technical, with the expectation that you become the post-sale technical lead across all Databricks products. This requires you to utilize your skills and technical credibility to engage and communicate effectively with all levels of an organization. You will report directly to a DSA Manager within the Field Engineering organization. The impact you will have: Engage with Solutions Architects to understand the full use case demand plan for prioritized customers Lead the post-technical win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts Be the accountable technical leader assigned

pythonsqlai
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CSQ427R323 PLEASE NOTE : Due to federal contract requirements and client site access obligations, U.S. citizenship is required to access classified information. Location: Remote (US-based) with up to 30% Travel At Databricks, we are on a mission to empower our customers to solve the world's toughest data problems by utilizing the Databricks Data Intelligence Platform. As a Delivery Solutions Architect (DSA), you will play an important role during this journey. You will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks Platform in your customers. You will also help ensure customer success by increasing focus and technical accountability for our most complex customers who need guidance to accelerate usage of Databricks workloads they have already selected, helping them maximize the value they get from our platform and their return on investment. This is a hybrid technical and commercial role. It is commercial in the sense that you will drive growth in your assigned customers and use cases through leading your customers' stakeholders, building executive relationships, orchestrating other focused/specialized teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build upon. This is in parallel with being technical, with the expectation that you become the post-sale technical lead across all Databricks products. This requires you to utilize your skills and technical credibility to engage and communicate effectively with all levels of an organization. You will report directly to a DSA Manager within the Field Engineering organization. The impact you will have: Engage with Solutions Architects to understand the full use case demand plan for prioritized customers Lead the post-technical win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts Be the accountable technical leader assigned to

pythonsqlai
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CSQ427R318 PLEASE NOTE : Due to federal contract requirements and client site access obligations, U.S. citizenship is required to access classified information. Location: Remote (East Coast-based) with up to 30% Travel At Databricks, we are on a mission to empower our customers to solve the world's toughest data problems by utilizing the Databricks Data Intelligence Platform. As a Delivery Solutions Architect (DSA), you will play an important role during this journey. You will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks Platform in your customers. You will also help ensure customer success by increasing focus and technical accountability for our most complex customers who need guidance to accelerate usage of Databricks workloads they have already selected, helping them maximize the value they get from our platform and their return on investment. This is a hybrid technical and commercial role. It is commercial in the sense that you will drive growth in your assigned customers and use cases through leading your customers' stakeholders, building executive relationships, orchestrating other focused/specialized teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build upon. This is in parallel with being technical, with the expectation that you become the post-sale technical lead across all Databricks products. This requires you to utilize your skills and technical credibility to engage and communicate effectively with all levels of an organization. You will report directly to a DSA Manager within the Field Engineering organization. The impact you will have: Engage with Solutions Architects to understand the full use case demand plan for prioritized customers Lead the post-technical win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts Be the accountable technical leade

pythonsqlai
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D
1 day ago

CSQ427R325 PLEASE NOTE : Due to federal contract requirements and client site access obligations, U.S. citizenship is required to access classified information. Candidates must possess an active Top Secret Clearance and reside in the greater Huntsville, Alabama region. Location: Remote - Huntsville, Alabama - with up to 30% Travel At Databricks, we are on a mission to empower our customers to solve the world's toughest data problems by utilizing the Databricks Data Intelligence Platform. As a Delivery Solutions Architect (DSA), you will play an important role during this journey. You will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks Platform in your customers. You will also help ensure customer success by increasing focus and technical accountability for our most complex customers who need guidance to accelerate usage of Databricks workloads they have already selected, helping them maximize the value they get from our platform and their return on investment. This is a hybrid technical and commercial role. It is commercial in the sense that you will drive growth in your assigned customers and use cases through leading your customers' stakeholders, building executive relationships, orchestrating other focused/specialized teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build upon. This is in parallel with being technical, with the expectation that you become the post-sale technical lead across all Databricks products. This requires you to utilize your skills and technical credibility to engage and communicate effectively with all levels of an organization. You will report directly to a DSA Manager within the Field Engineering organization. The impact you will have: Engage with Solutions Architects to understand the full use case demand plan for prioritized customers Lead the post-technical win technical account strategy and execu

pythonsqlai
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A
Anthropic
📍 San Francisco• $320K – $485K/yr
1 day ago

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role Anthropic manages one of the largest and fastest-growing infrastructure fleets in the industry — spanning multiple accelerator families, cpu families and clouds. The Capacity Engineering team is responsible for making sure all our infrastructure resources are accounted for, well-utilized, and efficiently allocated. We own the data, tooling, and operational systems that let Anthropic plan, measure, and maximize utilization across first-party and third-party compute. As an engineer on Capacity Engineering, you will build the production systems that power this work: data pipelines that ingest and normalize telemetry from heterogeneous cloud environments, observability tooling that gives the org real-time visibility into fleet health, and performance instrumentation that measures how efficiently every major workload uses the hardware it’s running on. You will be expected to write production-quality code every day, operate alongside Kubernetes-native infrastructure at meaningful scale, and directly influence decisions around one of Anthropic’s largest areas of spend. You’ll collaborate closely with research engineering, infrastructure, inference, and finance teams. The work requires someone who can move between data engineering, systems engineering, and observability with comfort — and who thrives in a high-autonomy, high-ambiguity environment. This is a pipeline role feeding four areas. Depending on your background and business priority, you’ll focus primarily in one, but the boundaries are fluid and the problems overlap: Data platform Pipelines that ingest occupancy and utilization telemetry from Kubernetes clusters, norma

pythonsqlazure
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H
2 days ago

HR Business Partner Description - Responsibilities • Performs complex analysis for specific functions or business units, identifies issues and recommends solutions. • Leads moderate complexity projects, delivering professionally written reports, and supports the realization of operational and strategic plans. • Supports policy and process enhancement, identifying opportunities for improved efficiency and organizational growth. • Communicates and guides the implementation of global HR programs and works to ensure alignment of the programs with priorities and goals of the business or function. • Partners with HR leaders on priority projects that support organization- wide transformation initiatives. • Conducts the quantitative and qualitative analysis of financial and workforce data to support the implementation of HR programs processes and services aligned to talent, performance and compensation, organization design, assessments and talent planning. • Discusses and compiles the needs of the business or function on an ongoing basis to maintain consistent plans between HR and the business or function. • Drives the forecasting process (weekly, monthly, and long term) by analyzing trends within the businesses and ensuring alignment with overall business objectives. • Solves difficult and complex problems with a fresh perspective, demonstrating good judgment in selecting creative solutions based on defined guidelines. • Escalates and seeks advice for more intricate issues spanning various programs from HR management, leveraging their extensive domain expertise. Education & Experience Recommended • Four-year or Graduate Degree in Human Resources, Business Administration, or any other related discipline or commensurate work experience or demonstrated competence. • Typically has 4-7 years of work experience, prefera

aihuman resourcesHR
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E
2 days ago

Location: In-Person (New York, NY) Compensation: $18.00 – $20.00 / hour Commitment: 15-20 hours/week Position Overview At Eulerity, we are building the future of AI-driven marketing automation. To scale our technology, we need to scale our team with top-tier talent. We are looking for a highly analytical, deeply curious intern with a true builder mentality to join us in our New York office. This is not a traditional internship. This role is designed as a training ground for future Product Managers. You will treat our recruiting pipeline and internal operations like a product—analyzing the data, identifying bottlenecks, testing solutions, and optimizing the "user" (candidate) experience. You will work closely with leadership to recruit the best talent while learning how to build, ship, and scale processes from the ground up. What You Will Build & Manage 1. Talent Sourcing & Recruiting Pipeline Hunt for Talent: Proactively source passive candidates across technical and business roles using LinkedIn Recruiter and alternative networks. Manage the "User Journey": Treat the candidate experience like a product flow. Coordinate interviews, manage our Applicant Tracking System (ATS), and ensure every touchpoint is seamless and reflects Eulerity's brand. 2. Analytics & Process Optimization Funnel Analysis: Track key recruiting metrics (time-to-hire, drop-off rates, source effectiveness) to figure out where our hiring process is succeeding or failing. Data-Driven Solutions: Build dashboards and reports to present to leadership, using data to advocate for changes in how we evaluate, interview, and close candidates. Market Intelligence: Conduct competitive research on compensation, benefits, and market trends to ensure our offers remain highly competitive. Who You Are The Builder Mentality: You do not wait to be told what to do. You see broken processes and immediately want to design a system to fix them. Future Product Manager: You have a deep interest in tec

aiExcellogistics
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DU
DoorDash USA
📍 Minnesota, United States• Remote• $74.8K – $110K/yr
2 days ago

About the Team The New Vertical Onboarding Strategy & Operations team drives a fast, seamless onboarding experience for merchants across the SMB segments. We collaborate closely with cross-functional partners to enhance visibility, streamline workflows, and reduce onboarding friction through scalable process and product improvements. Our mission is to ensure every merchant launches smoothly and efficiently, powered by data-driven insights and strong operational alignment. About the Role The SMB Onboarding Strategy & Operations (S&O) role focuses on improving the end-to-end onboarding experience for small and medium-sized merchants by identifying process inefficiencies, building visibility tools, and driving scalable solutions across cross-functional teams. This role acts as the single-threaded owner for SMB onboarding, ensuring merchants are launched quickly, accurately, and with minimal friction through data-driven insights, process automation, and clear ownership alignment. Key Responsibilities Process Visibility & SLA Tracking: Build dashboards to monitor true onboarding timelines, identify delays, and surface insights to inform process and tooling improvements. Root Causing Blocked Cases: Develop a shared tracker for blocked cases, analyze trends, and work with cross-functional partners to resolve issues and implement sustainable fixes. Integrations Enablement: Design and refine onboarding workflows for new integration types (e.g., Shopify), and establish scalable processes as SMB Retail expands in 2026. Product & Tooling Guidance: Translate workflow gaps into actionable product requirements for systems like SFDC, and advocate for automation that reduces manual work. Cross-Functional Collaboration: Partner with MXO, GTMT, IA, Sales, and Product to ensure end-to-end alignment on onboarding priorities and execution. Data & Insights: Create and maintain onboarding performance dashboards to measure success and track progress toward SLAs and O

REMOTEsqlExcellogistics
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Work Flexibility: Hybrid Principal Analyst, Business Intelligence Service Delivery: This role is responsible for leading development and support for the analytics solutions on SAP BW, Azure, Databricks, PBI and BPC. This individual is responsible for leading the business requirement gathering, design technical solutions, implementation, and optimization of solutions. This role combines technical expertise with business acumen to ensure efficient and effective IT solutions delivery for analytics operations and automation. This is an individual contributor role that requires the use of judgement in applying professional expertise and is expected to work independently with minimal supervision. This Job requires an understanding and application of procedures and concepts of own discipline, attention to detail in making evaluative judgements based on the analysis of information. This role requires engaging and supporting global teams and business primarily in the US, good overlap hours required during working What you will do: Design, build, test, and deliver scalable analytics and data solutions across SAP BW, Microsoft Azure, Databricks, Power BI, and BPC, ensuring reliability, security, maintainability, and performance. Lead end-to-end analytics development and application support, ensuring successful delivery of solutions aligned with business requirements, technical standards, and enterprise data strategy. Partner with business, IT, global process governance, and project teams to translate business requirements into robust technical solutions, considering security, scalability, stability, and long-term sustainability. <span style="color:#0

azureaisalesforce
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G
Godaddy
📍 Canada• C$128.5K – C$192.5K/yr
3 days ago

Location Details: At GoDaddy the future of work looks different for each team. Some teams work in the office full-time; others have a hybrid arrangement (they work remotely some days and in the office some days) and some work entirely remotely.​ This is a remote position, so you’ll be working remotely from your home. You may occasionally visit a GoDaddy office to meet with your team for events or meetings. Join our team Join a team where you can help shape the future of our enterprise data platform through automation, modernization, and AI-enabled solutions. You will have the opportunity to build reliable platform services, improve self-service experiences for data producers and consumers, and develop AI-assisted and agentic automation that reduces manual work and improves developer productivity. This is an ideal opportunity for a hands-on engineer with strong Amazon Web Services and Python skills who enjoys solving complex platform challenges at scale. What you'll get to do... Build and evolve artificial intelligence-assisted and agentic automation tooling, including migration support, impact assessment, and workflows that reduce manual effort for platform and data teams Improve data producer and consumer experiences through self-service onboarding, platform workflows, automation, and scalable adoption patterns Contribute to platform modernization efforts, including Apache Iceberg adoption, reliability improvements, and operational automation Own platform reliability, operational support, and incident response during United States hours across Data Lake and related data platform services Drive proactive root-cause analysis, after-action reviews, and implementation of durable fixes that improve long-term platform stability Partner with engineering teams across United States and India time zones to maintain continuity, unblock users, and improve platform outcomes Your experience should include... 7+ years of software engineering or data platform enginee

pythonawsartificial intelligence
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CSQ427R265 Manager, Delivery Solutions Architect – Healthcare & Life Sciences (HLS) United States – Apply Now As a Delivery Solutions Architect (DSA) Manager supporting our Healthcare & Life Sciences (HLS) segment, you will lead a team of DSAs responsible for accelerating production-grade Data and AI workloads across some of the most regulated, mission-critical environments in the world. Your organization will be the technical engine behind how payers, providers, med-tech, and biopharma customers modernize clinical intelligence, streamline R&D operations, and operationalize secure AI at scale on the Databricks Data Intelligence Platform. You will define strategy, set the execution rhythm, and coach a team capable of navigating long implementation cycles, strict compliance requirements, and multi-stakeholder enterprise programs—all while ensuring customers achieve clear, measurable outcomes. You will report to the Director of Delivery Solutions Architecture for the HLS Business Unit. The Impact You Will Have: Build and Lead a High-Performing HLS Delivery Team Hire, develop, and inspire DSAs who can navigate clinical, scientific, and operational workloads. Establish a performance culture grounded in accuracy, velocity, and architectural excellence. Accelerate Production in Highly Regulated Environments Guide your team to minimize onboarding friction, remove blockers, and bring critical HLS use cases—clinical analytics, real-world evidence, supply-chain intelligence, quality systems, AI/ML—into production quickly and safely. Drive Compliance-Aware Technical Excellence Ensure your team maintains deep expertise in the Data Intelligence Platform alongside core HLS requirements such as PHI-compliant architectures, HIPAA/GxP controls, auditability, lineage, and secure ML/AI operations. Partner for Growth With Sales and Field Teams Collaborate tightly with Sales, SAs, Support, Emerging Technologies, and Professional Services to drive adoption, increase MAU/

pythonsqlaws
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