GAQ426R358 While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered. We’re looking for a Chief of Staff to the Chief People Officer (CPO) to help drive operational excellence, strategic alignment, and execution across the Databricks People organization. In this role, you will work closely with the CPO and People Leadership Team to ensure that our strategy, priorities, and operating rhythms are aligned and effectively executed as we scale. You will play a critical role in connecting strategy to execution, enabling strong collaboration across the People Leadership Team and Centers of Excellence, and ensuring the CPO’s time and focus are directed toward the most impactful priorities for the company. A key part of this role will be helping support the transformation of the People organization into an AI-first, highly efficient function, identifying opportunities to leverage AI to automate routine work, accelerate insights, improve decision-making, and fundamentally change how the People team operates at scale. The impact you will have: - Drive the operating cadence of the People Leadership Team, including leadership meetings, quarterly and annual planning, and strategic reviews. - Ensure alignment across People functions and Centers of Excellence by linking strategy, planning, and execution. - Partner with functional leaders, PMO and finance to translate company priorities into clear People team objectives and operational plans. - Develop reporting mechanisms and dashboards to track key People metrics, strategic initiatives, and organizational performance, and coordinate reporting metrics to the board and executive team as needed. - Identify and implement AI-powered tools and workflows to improve the operating efficiency of the People organization, from automating routine reporting and communications to accelerating how the team synthesizes data and gets to better decisions, faster. What we look for: - Experience as a Chief of Staff, Strategy Lead, or similar role supporting a senior executive - 8–12+ years of experience in HR, strategy, operations, consulting, or business operations. Experience working with People/HR organizations or talent strategy initiatives is strongly preferred. - Strong strategic thinking and program management skills with the ability to translate strategy into operational execution - Exceptional organizational and communication skills with experience supporting senior executives and working effectively across cross-functional stakeholders to drive results across complex organizations - Proven ability to manage cross-functional initiatives across complex organizations - Strong analytical and data storytelling skills to drive insight and decision-making - Ability to operate effectively in a high-growth, fast-paced environment and drive alignment through ambiguity - A genuine AI adopter who actively uses AI tools to do their own work better, and brings curiosity and initiative to identifying how these tools can transform how the People team operates Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here. Zone 1 Pay Range $234,200—$322,100 USD About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Data Engineer Porto Farfetch - Technology – Data / Full-time / Hybrid TECHNOLOGY We're on a mission to build end-to-end products and technology that powers the an incredible e-commerce experience for luxury customers everywhere, understanding the motivations and needs of our customers and partners, to designing and testing hypotheses, to creating industry-leading experiences for luxury customers. PORTO Our office is near Porto, in the north of Portugal, and is located in a vibrant business hub. It offers a dynamic and welcoming environment where our employees can connect and network with a large community of tech professionals. THE ROLE We're a Data team that implements methods to improve data reliability and quality by combining raw information from different sources and developing architectures that enable data extraction and transformation for data modeling. Our aim is to provide an unrivaled customer experience and promote FARFETCH's growth. You will be integrated with the Data Engineering team, being responsible for helping maintain and improve the Data architecture and tools. WHAT YOU'LL DO - Contribute to the hiring and training of engineers within the managed team - Assure the collaboration of managed team across different engineering teams (inside and outside of the domain) and adherence to the defined global engineering best practices - Design and build scalable & reliable data pipelines (ETLs) for our data platform - Constantly evolve data models & schema design of our Data Warehouse to support self-service needs - Work cross functionally with various teams, creating solutions that deal with large volumes of data - Work with the team to set and maintain standards and development practices - Be a keen advocate of quality and continuous improvement. WHO YOU ARE - You have experience as a professional with solid technical background building and maintaining data pipelines in a custom or commercial ETL tool (eg. SSIS, Talend, Informatica) (Airflow is a plus) - You have experience working in a Data Warehouse environment with varied forms of data infrastructure, including relational databases, Hadoop, and Column Store - Expert in creating and evolving dimensional data models & schema designs to improve accessibility of data and provide intuitive analytics - Basic experience and knowledge of cloud environments (eg. AWS, GCP, Azure) - Expert in SQL - You are proficient in one of the following programming languages: C#, Java, Python - You have 2+ years experience working with a BI reporting tool (eg. Tableau, QlikView, PowerBI, Looker) - Proficient applier of continuous delivery principles: version control, unit and automated tests - You are fluent in English, both written and spoken - You have good analytical and problem solving skills, the ability to work in a fast moving operational environment and you are enthusiastic and with a positive attitude. REWARDS & BENEFITS - Health insurance for the whole family, flexible working environment and well-being support and tools - Extra days off, sabbatical program and days for you to give back for the community - Training opportunities and free access to Udemy - Flexible benefits program

Description The Work: We are seeking a Data Engineer to support federal government programs by designing, building, and maintaining scalable, secure, and compliant data solutions. This role partners closely with data scientists, analysts, developers, and government stakeholders to enable data-driven decision-making across mission‑critical systems. Job Location: This is a fully remote role which may require occasional travel to the DC Metro area as needed for onsite client meetings. Preference to candidates located within the Washington, DC Metro area. If you accept this position, you should note that ICF does monitor employee work locations and blocks access from foreign locations/foreign IP addresses, and also prohibits personal VPN connections. What You Will Do: - Design, build, and maintain data pipelines and ETL/ELT processes supporting large-scale federal data systems - Develop and optimize cloud-based data architectures in AWS or Azure environments (e.g., S3, Redshift, RDS, Databricks, Synapse) - Integrate structured and unstructured data from multiple government and third‑party sources - Ensure data quality, integrity, availability, and performance across systems - Support ATO, RMF, and federal security requirements, including documentation and audit support - Collaborate with DevOps teams on CI/CD, infrastructure as code (IaC), and deployment automation - Translate business and mission requirements into scalable technical solutions - Produce and maintain technical documentation for data flows, pipelines, and architectures - Participate in Agile ceremonies and work closely with cross‑functional teams What You Will Bring With You: - Active Top Secret clearance, with SCI eligibility - 1+ years of experience designing and supporting enterprise data solutions in federal or regulated environments What We Would Like You To Bring With You: - Bachelor's Degree in related field - Prior experience supporting federal or DoD programs, preferably DCSA - Strong experience with relational databases (e.g., Oracle, PostgreSQL, SQL Server, Azure SQL, or similar) - Knowledge of data modeling techniques, ETL/ELT processes, and data integration patterns - Familiarity with cloud platforms (Azure, AWS, or GCP) and modern data services - Experience supporting security, governance, and compliance requirements - Experience with data warehousing, reporting, and analytics platforms - Familiarity with DevSecOps, CI/CD pipelines, and infrastructure‑as‑code #DCSA2026 #Indeed Working at ICF ICF is a global advisory and technology services provider, but we’re not your typical consultants. We combine unmatched expertise with cutting-edge technology to help clients solve their most complex challenges, navigate change, and shape the future. We can only solve the world's toughest challenges by building a workplace that allows everyone to thrive. We are an equal opportunity employer. Together, our employees are empowered to share their expertise and collaborate with others to achieve personal and professional goals. For more information, please read our EEO policy. We will consider for employment qualified applicants with arrest and conviction records. Reasonable Accommodations are available, including, but not limited to, for disabled veterans, individuals with disabilities, and individuals with sincerely held religious beliefs, in all phases of the application and employment process. To request an accommodation, please email Candidateaccommodation@icf.com and we will be happy to assist. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.  Read more about workplace discrimination rights or our benefit offerings which are included in the Transparency in (Benefits) Coverage Act. Candidate AI Usage Policy At ICF, we are committed to ensuring a fair interview process for all candidates based on their own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) tools to generate or assist with responses during interviews (whether in-person or virtual) is not permitted. This policy is in place to maintain the integrity and authenticity of the interview process.  However, we understand that some candidates may require accommodation that involves the use of AI. If such an accommodation is needed, candidates are instructed to contact us in advance at candidateaccommodation@icf.com. We are dedicated to providing the necessary support to ensure that all candidates have an equal opportunity to succeed.   Pay Range - There are multiple factors that are considered in determining final pay for a position, including, but not limited to, relevant work experience, skills, certifications and competencies that align to the specified role, geographic location, education and certifications as well as contract provisions regarding labor categories that are specific to the position. The pay range for this position based on full-time employment is: $81,499.00 - $138,549.00 Nationwide Remote Office (US99)

• Lead a high-performing team responsible for designing, building, and managing the data infrastructure and pipelines. • Define the strategic direction of the Data Engineering function. • Collaborate with cross-functional teams to ensure the scalability, efficiency, and reliability of our data systems. • Ensure data systems are designed for high availability, security, and performance. • Partner with Product, Data Science, Engineering, and Business teams to understand their data needs. • Act as a key liaison between technical teams and business stakeholders, ensuring alignment and transparency. • Stay abreast of emerging technologies and industry best practices in data engineering. • Define and enforce standards, processes, and best practices for data engineering.