data platform manager

AHOLD Delhaize

<div>Category/Area of Expertise: IT &amp; Technology 
Job Requisition: 464673 
Address: USA-NC-Salisbury-2110 Executive Drive
 
Store Code: Arch/Data - Business Intell &amp; Analy (5119291)
 
 
Ahold Delhaize USA, a division of global food retailer Ahold Delhaize, is part of the U.S. family of brands, which includes five leading omnichannel grocery brands - Food Lion, Giant Food, The GIANT Company, Hannaford and Stop &amp; Shop. Our associates support the brands with a wide range of services, including Finance, Legal, Sustainability, Commercial, Digital and E-commerce, Technology and more. 
 
Primary Purpose: 
 
The Senior Platform Engineering Manager will play a critical role in developing, implementing &amp; delivering enhancements to core data platforms and supporting the data &amp; analytics ecosystems, applications and tools. The Sr Platform Engineering Manager will work closely with Platform Owners, Business Channel leaders, SMEs, Technology, Operations, Client Services, Legal, Compliance, Risk, Architecture and external suppliers/vendors. Day-to-day responsibilities include maintaining subject matter expertise for data platform functionality geared around enhancing user experience, user adoption, or supporting platform issues identified by client service/support organizations.
 
 
Our flexible/ hybrid work schedule includes 3 in-person days at one of our core locations and 2 remote days. Our core office locations include Salisbury, NC, Chicago, IL, and Quincy, MA. 
 
Applicants must be currently authorized to work in the United States on a full-time basis. 
 
Duties &amp; Responsibilities: 
<ul><li>
Help define strategic vision for key functionalities within ADUSA data platforms.
</li><li>Become a subject matter expert in the data platform current and future architecture guidance &quot;Data Lakehouse&quot; that helps support our customers in a data domain centric ecosystem.
</li><li>Help improve our platforms standards, guidelines and recipes by working closely with both architecture, engineers and Platform Owner.
</li><li>Partner closely with architecture on design, test, and deliver critical functionality to support strategic enterprise goals to enhance user experience, support line of business adoption, and meet internal/external mandates.
</li><li>Leverage executive presence skills to influence senior business stakeholders and program leadership on roadmap prioritization decisions.
</li><li>Provides oversight and holds team members accountable for following all compliance, Change Management and IT Security policies.
</li><li>Lead a team of lean DevOps engineers in an agile environment to deliver cutting edge PaaS, IaaS and IaC solutions that help enable our customer base.
</li><li>Lead an operation team of platform support engineers that provide 24/7 support to all our data platforms as apart of keeping the lights on for business use.
</li></ul> 
Qualifications: 
<ul><li>
Bachelors Degree in Computer Science, CIS or related (or equivalent related work experience).</li><li>
8 or more years of equivalent experience in relevant job or field of technology.
</li><li>5 or more years of equivalent experience in an advanced role or technical capacity, leading teams directly or indirectly.</li><li>
5 or more years experience directly responsible for leading and managing an agile engineering team.</li></ul> 

Preferred Qualifications: 
<ul><li>
Post graduate degree advanced training and/or certifications in relevant field/s of study preferred.</li><li>
5 or more years experience in Databricks, Azure, MongoDB and Power BI.</li><li>
5 or more years experience in leading teams or advancing technical capability in teams.
</li><li>5 or more year's experience in DevOps, automation, CI/CD, Terraform, Powershell and or YAML.
</li><li>5 to 10 years in GitHub and Data Dog.</li></ul> 
#DICEJobs #LI-hybrid #LI-SS1 
 
Salary Range:$151,200 - $226,800
 
 
Actual compensation offered to a candidate may vary based on their unique qualifications and experience, internal equity, and market conditions. Final compensation decisions will be made in accordance with company policies and applicable laws.
 
 
At Ahold Delhaize USA, we provide services to one of the largest portfolios of grocery companies in the nation, and we're actively seeking top talent. 
 
Our team shares a common motivation to drive change, take ownership and enable our brands to better care for their customers. We thrive on supporting great local grocery brands and their strategies. 
 
Our associates are the heartbeat of our organization. We are committed to offering a welcoming work environment where all associates can succeed and thrive. Guided by our values of courage, care, teamwork, integrity (and even a little humor), we are dedicated to being a great place to work. 
 
We believe in collaboration, curiosity, and continuous learning in all that we think, create and do. While building a culture where personal and professional growth are just as important as business growth, we invest in our people, empowering them to learn, grow and deliver at all levels of the business.</div>

Sr Manager, Data Platforms

<div>Category/Area of Expertise: IT &amp; Technology 
Job Requisition: 464673 
Address: USA-MA-Quincy-1385 Hancock Street
 
Store Code: Arch/Data - Business Intell &amp; Analy (5119291)
 
 
Ahold Delhaize USA, a division of global food retailer Ahold Delhaize, is part of the U.S. family of brands, which includes five leading omnichannel grocery brands - Food Lion, Giant Food, The GIANT Company, Hannaford and Stop &amp; Shop. Our associates support the brands with a wide range of services, including Finance, Legal, Sustainability, Commercial, Digital and E-commerce, Technology and more. 
 
Primary Purpose: 
 
The Senior Platform Engineering Manager will play a critical role in developing, implementing &amp; delivering enhancements to core data platforms and supporting the data &amp; analytics ecosystems, applications and tools. The Sr Platform Engineering Manager will work closely with Platform Owners, Business Channel leaders, SMEs, Technology, Operations, Client Services, Legal, Compliance, Risk, Architecture and external suppliers/vendors. Day-to-day responsibilities include maintaining subject matter expertise for data platform functionality geared around enhancing user experience, user adoption, or supporting platform issues identified by client service/support organizations.
 
 
Our flexible/ hybrid work schedule includes 3 in-person days at one of our core locations and 2 remote days. Our core office locations include Salisbury, NC, Chicago, IL, and Quincy, MA. 
 
Applicants must be currently authorized to work in the United States on a full-time basis. 
 
Duties &amp; Responsibilities: 
<ul><li>
Help define strategic vision for key functionalities within ADUSA data platforms.
</li><li>Become a subject matter expert in the data platform current and future architecture guidance &quot;Data Lakehouse&quot; that helps support our customers in a data domain centric ecosystem.
</li><li>Help improve our platforms standards, guidelines and recipes by working closely with both architecture, engineers and Platform Owner.
</li><li>Partner closely with architecture on design, test, and deliver critical functionality to support strategic enterprise goals to enhance user experience, support line of business adoption, and meet internal/external mandates.
</li><li>Leverage executive presence skills to influence senior business stakeholders and program leadership on roadmap prioritization decisions.
</li><li>Provides oversight and holds team members accountable for following all compliance, Change Management and IT Security policies.
</li><li>Lead a team of lean DevOps engineers in an agile environment to deliver cutting edge PaaS, IaaS and IaC solutions that help enable our customer base.
</li><li>Lead an operation team of platform support engineers that provide 24/7 support to all our data platforms as apart of keeping the lights on for business use.
</li></ul> 
Qualifications: 
<ul><li>
Bachelors Degree in Computer Science, CIS or related (or equivalent related work experience).</li><li>
8 or more years of equivalent experience in relevant job or field of technology.
</li><li>5 or more years of equivalent experience in an advanced role or technical capacity, leading teams directly or indirectly.</li><li>
5 or more years experience directly responsible for leading and managing an agile engineering team.</li></ul> 

Preferred Qualifications: 
<ul><li>
Post graduate degree advanced training and/or certifications in relevant field/s of study preferred.</li><li>
5 or more years experience in Databricks, Azure, MongoDB and Power BI.</li><li>
5 or more years experience in leading teams or advancing technical capability in teams.
</li><li>5 or more year's experience in DevOps, automation, CI/CD, Terraform, Powershell and or YAML.
</li><li>5 to 10 years in GitHub and Data Dog.</li></ul> 
#DICEJobs #LI-hybrid #LI-SS1 
 
Salary Range:$151,200 - $226,800
 
 
Actual compensation offered to a candidate may vary based on their unique qualifications and experience, internal equity, and market conditions. Final compensation decisions will be made in accordance with company policies and applicable laws.
 
 
At Ahold Delhaize USA, we provide services to one of the largest portfolios of grocery companies in the nation, and we're actively seeking top talent. 
 
Our team shares a common motivation to drive change, take ownership and enable our brands to better care for their customers. We thrive on supporting great local grocery brands and their strategies. 
 
Our associates are the heartbeat of our organization. We are committed to offering a welcoming work environment where all associates can succeed and thrive. Guided by our values of courage, care, teamwork, integrity (and even a little humor), we are dedicated to being a great place to work. 
 
We believe in collaboration, curiosity, and continuous learning in all that we think, create and do. While building a culture where personal and professional growth are just as important as business growth, we invest in our people, empowering them to learn, grow and deliver at all levels of the business.</div>

<div>Category/Area of Expertise: IT &amp; Technology 
Job Requisition: 464673 
Address: USA-IL-Chicago-300 South Riverside Plaza
 
Store Code: Arch/Data - Business Intell &amp; Analy (5119291)
 
 
Ahold Delhaize USA, a division of global food retailer Ahold Delhaize, is part of the U.S. family of brands, which includes five leading omnichannel grocery brands - Food Lion, Giant Food, The GIANT Company, Hannaford and Stop &amp; Shop. Our associates support the brands with a wide range of services, including Finance, Legal, Sustainability, Commercial, Digital and E-commerce, Technology and more. 
 
Primary Purpose: 
 
The Senior Platform Engineering Manager will play a critical role in developing, implementing &amp; delivering enhancements to core data platforms and supporting the data &amp; analytics ecosystems, applications and tools. The Sr Platform Engineering Manager will work closely with Platform Owners, Business Channel leaders, SMEs, Technology, Operations, Client Services, Legal, Compliance, Risk, Architecture and external suppliers/vendors. Day-to-day responsibilities include maintaining subject matter expertise for data platform functionality geared around enhancing user experience, user adoption, or supporting platform issues identified by client service/support organizations.
 
 
Our flexible/ hybrid work schedule includes 3 in-person days at one of our core locations and 2 remote days. Our core office locations include Salisbury, NC, Chicago, IL, and Quincy, MA. 
 
Applicants must be currently authorized to work in the United States on a full-time basis. 
 
Duties &amp; Responsibilities: 
<ul><li>
Help define strategic vision for key functionalities within ADUSA data platforms.
</li><li>Become a subject matter expert in the data platform current and future architecture guidance &quot;Data Lakehouse&quot; that helps support our customers in a data domain centric ecosystem.
</li><li>Help improve our platforms standards, guidelines and recipes by working closely with both architecture, engineers and Platform Owner.
</li><li>Partner closely with architecture on design, test, and deliver critical functionality to support strategic enterprise goals to enhance user experience, support line of business adoption, and meet internal/external mandates.
</li><li>Leverage executive presence skills to influence senior business stakeholders and program leadership on roadmap prioritization decisions.
</li><li>Provides oversight and holds team members accountable for following all compliance, Change Management and IT Security policies.
</li><li>Lead a team of lean DevOps engineers in an agile environment to deliver cutting edge PaaS, IaaS and IaC solutions that help enable our customer base.
</li><li>Lead an operation team of platform support engineers that provide 24/7 support to all our data platforms as apart of keeping the lights on for business use.
</li></ul> 
Qualifications: 
<ul><li>
Bachelors Degree in Computer Science, CIS or related (or equivalent related work experience).</li><li>
8 or more years of equivalent experience in relevant job or field of technology.
</li><li>5 or more years of equivalent experience in an advanced role or technical capacity, leading teams directly or indirectly.</li><li>
5 or more years experience directly responsible for leading and managing an agile engineering team.</li></ul> 

Preferred Qualifications: 
<ul><li>
Post graduate degree advanced training and/or certifications in relevant field/s of study preferred.</li><li>
5 or more years experience in Databricks, Azure, MongoDB and Power BI.</li><li>
5 or more years experience in leading teams or advancing technical capability in teams.
</li><li>5 or more year's experience in DevOps, automation, CI/CD, Terraform, Powershell and or YAML.
</li><li>5 to 10 years in GitHub and Data Dog.</li></ul> 
#DICEJobs #LI-hybrid #LI-SS1 
 
Salary Range:$151,200 - $226,800
 
 
Actual compensation offered to a candidate may vary based on their unique qualifications and experience, internal equity, and market conditions. Final compensation decisions will be made in accordance with company policies and applicable laws.
 
 
At Ahold Delhaize USA, we provide services to one of the largest portfolios of grocery companies in the nation, and we're actively seeking top talent. 
 
Our team shares a common motivation to drive change, take ownership and enable our brands to better care for their customers. We thrive on supporting great local grocery brands and their strategies. 
 
Our associates are the heartbeat of our organization. We are committed to offering a welcoming work environment where all associates can succeed and thrive. Guided by our values of courage, care, teamwork, integrity (and even a little humor), we are dedicated to being a great place to work. 
 
We believe in collaboration, curiosity, and continuous learning in all that we think, create and do. While building a culture where personal and professional growth are just as important as business growth, we invest in our people, empowering them to learn, grow and deliver at all levels of the business.</div>

<div><div>At EY, we&rsquo;re all in to shape your future with confidence.
We&rsquo;ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go.
Join EY and help to build a better working world.</div><div></div> 
EY_ Consulting_Microsoft_Fabric- Manager
As part of our EY-DnA team, you will be responsible for designing, developing, and maintaining distributed systems using Microsoft Fabric, including One Lake, Azure Data Factory (ADF), Azure Synapse, Notebooks, Data Warehouse, and Lakehouse. You will play a crucial role in architecting and implementing enterprise data platforms and data management practices, ensuring the delivery of high-quality solutions that meet business requirements. You will collaborate with system architects, business analysts, and stakeholders to understand their requirements and convert them into technical designs. Your role will involve designing, building, testing, deploying, and maintaining robust integration architectures, services, and workflows. 
To qualify for the role, you should:<ul><li>
Design, develop, and implement ETL pipelines using Azure Data Factory to extract, transform, and load data from various sources into target systems.</li><li>
Architect and implement Azure Synapse, Data Warehouse, and Lakehouse solutions, ensuring scalability, performance, and reliability.</li><li>
Utilize Notebooks and Spark for data analysis, processing, and visualization to derive actionable insights from large datasets.</li><li>
Define and implement enterprise data platform architecture, including the creation of gold, silver, and bronze datasets for downstream use.</li><li>
Hands-on development experience in cloud-based big data technologies, including Azure, Power Platform, Microsoft Fabric/Power BI, leveraging languages such as SQL, PySpark, DAX, Python, and Power Query.</li><li>
Designing and developing BI reports and dashboards by understanding the business requirements, designing the data model, and developing visualizations that provide actionable insights.</li><li>
Collaborate effectively with key stakeholders and other developers to understand business requirements, provide technical expertise, and deliver solutions that meet project objectives.</li><li>
Mentor other developers in the team, sharing knowledge, best practices, and emerging technologies to foster continuous learning and growth.</li><li>
Stay updated on industry trends and advancements in Microsoft Fabric and related technologies, incorporating new tools and techniques to enhance development processes and outcomes.</li></ul> 
Skills and attributes for success:<ul><li>
7-11 years of experience in developing data solutions using the Microsoft Azure cloud platform.</li><li>
Strong experience with Azure Data Factory and ETL Pipelines</li><li>
Strong experience with Azure Synapse, Data Warehouse and Lakehouse implementations</li><li>
Strong experience with Notebooks and Spark</li><li>
Background in architecting and implementing enterprise data platforms and data management practise including gold, silver bronze datasets for downstream use.</li><li>
Hands on experience in cloud-based big data technologies including Azure, Power Platform, Microsoft Fabric/Power BI; using languages such as SQL, Pyspark, DAX, Python, Power Query.</li><li>
Creating Business Intelligence (BI) reports and crafting complex Data Analysis Expressions (DAX) for metrics.</li></ul> 
Ideally, you&rsquo;ll also have:<ul><li>
Exceptional communication skills and the ability to articulate ideas clearly and concisely.</li><li>
Capability to work independently as well as lead a team effectively.</li></ul><div>
EY | Building a better working world
EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.
Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.
EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.</div></div>

EY - GDS Consulting - AI - DATA - MS Fabric Architect - Manager

Hexaware Technologies

Role summary &bull; Seeking an experienced Technical Program Manager with deep domain expertise in data platforms, analytics, and data engineering &bull; 15+ years of experience delivering complex technical programs, with substantial experience focused on data platforms, analytics. &bull; Lead end-to-end planning and execution of large-scale data programs (data platform migrations). &bull; Define program vision, strategy, roadmap, success metrics, milestone plans, and clear release criteria in partnership with product and engineering leaders. &bull; Coordinate cross-functional teams &bull; Track dependencies, risks, assumptions and drive mitigation plans; escalate appropriately to leadership when needed. &bull; Drive architecture and implementation trade-off discussions with technical leads to ensure scalable, reliable, and cost-effective solutions. &bull; Own program-level reporting and communications for stakeholders and executive leadership; present progress, risks, and outcomes. &bull; Manage prioritization across multiple initiatives balancing business value, technical debt, compliance, and resource constraints. &bull; Establish and drive program governance, SLAs, post-launch retrospectives, and continuous improvement processes. &bull; Partner with Security, Privacy, and Legal on data governance, compliance, lineage, and access controls. &bull; Strong analytical and problem-solving skills, with a metrics-driven approach to measuring program success. &bull; Experience managing budgets, vendor relationships, and contracting for third-party data tools or cloud services. &bull; Background in machine learning platform enablement, model operationalization (MLOps), or analytics productization. &bull; Certifications such as PMP, CSM, SAFe PM, or equivalent program management credentials. &bull; Mentor and enable other program managers and technical leads; grow program management capability within the organization. &bull; Required experience &amp; qualifications

Cloud Amaze - Data Technical Delivery Manager

<div>Line of Service
Advisory
Industry/Sector
Technology
Specialism
Advisory - Other
Management Level
Manager
Job Description &amp; Summary
As a Data Engineering Manager, you will lead the design, development, and optimization of modern data platforms and pipelines on Azure and Databricks. You will oversee a team of data engineers and collaborate with cross-functional stakeholders to deliver scalable, secure, and high-performing data solutions that enable advanced analytics, AI, and business insights for enterprise clients.
 
This role requires deep expertise in cloud data architecture, hands-on experience with Azure data services (including Microsoft Fabric), and advanced proficiency in Databricks for batch and real-time data engineering. You will also be responsible for mentoring team members, driving technical excellence, and aligning data engineering initiatives with business strategy.
<h3 class="jobSectionHeader">Key Responsibilities
</h3><ul><li>Lead the end-to-end delivery of data engineering projects, ensuring alignment with business goals and technical standards.
</li><li>Architect and oversee the implementation of scalable data pipelines across structured, semi-structured, and unstructured data sources.
</li><li>Guide the adoption of best practices in data ingestion, transformation, and orchestration using Azure Data Factory, Synapse, and Microsoft Fabric.
</li><li>Drive performance optimization and scalability of ETL/ELT processes using Databricks (PySpark, SQL, Delta Lake).
</li><li>Establish and enforce data governance, quality, lineage, and observability frameworks.
</li><li>Collaborate with solution architects and business leaders to define modern data architectures and ensure compliance with security and privacy regulations.
</li><li>Facilitate technical workshops, stakeholder engagements, and roadmap planning sessions.
</li><li>Mentor and develop junior engineers, fostering a culture of innovation, accountability, and continuous learning.
</li></ul><h3 class="jobSectionHeader">Required Skills &amp; Experience
</h3><ul><li>7&ndash;10 years of experience in data engineering, with at least 3 years in a leadership or managerial role .
</li><li>Proven track record of delivering enterprise-grade data solutions in consulting or large-scale environments.
</li><li>Advanced hands-on experience with:
<ul><li>Azure Data Platform : Data Factory, Synapse Analytics, Azure Data Lake Storage, Microsoft Fabric, Event Hub/IoT Hub, Azure Functions.
</li><li>Databricks : PySpark, Spark SQL, Delta Lake, Unity Catalog, Databricks Workflows.
</li></ul></li><li>Strong proficiency in Python and SQL for large-scale data processing.
</li><li>Expertise in data modeling, medallion architecture, and lakehouse principles.
</li><li>Familiarity with CI/CD pipelines, DevOps practices, and version control systems (e.g., Git, Azure DevOps).
</li><li>Experience implementing data governance and observability tools.
</li><li>Strategic mindset with the ability to balance technical depth and business impact.
</li></ul>Education (if blank, degree and/or field of study not specified)
Degrees/Field of Study required:
Degrees/Field of Study preferred:
Certifications (if blank, certifications not specified)
Required Skills
Optional Skills
Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Analytical Thinking, Apache Hadoop, Azure Data Factory, Coaching and Feedback, Communication, Creativity, Data Anonymization, Database Administration, Database Management System (DBMS), Database Optimization, Database Security Best Practices, Data Engineering, Data Engineering Platforms, Data Infrastructure, Data Integration, Data Lake, Data Modeling, Data Pipeline, Data Quality, Data Transformation {+ 24 more}
Desired Languages (If blank, desired languages not specified)
Travel Requirements
Not Specified
Available for Work Visa Sponsorship?
No
Government Clearance Required?
No
Job Posting End Date</div>

ETIC, Data Engineer, Manager

Keyrock

<div>Job title: Head of Data
About Keyrock
Since our beginnings in 2017, we've grown to be a leading change-maker in the digital asset space, renowned for our partnerships and innovation.
Today, we rock with over 200 team members around the world. Our diverse team hails from 42 nationalities, with backgrounds ranging from DeFi natives to PhDs. Predominantly remote, we have hubs in London, Brussels, Singapore and Paris, and host regular online and offline hangouts to keep the crew tight.
We are trading on more than 80 exchanges, and working with a wide array of asset issuers. As a well-established market maker, our distinctive expertise led us to expand rapidly. Today, our services span market making, options trading, high-frequency trading, OTC, and DeFi trading desks as well as digital asset management. Keyrock is looking to expand and establish itself as a full-service financial institution through both organic innovation and inorganic growth.
But we&rsquo;re more than a service provider. We&rsquo;re an initiator. We're pioneers in adopting the Rust Development language for our algorithmic trading systems, and champions of its use in the industry. We support the growth of Web3 startups through our Accelerator Program. We upgrade ecosystems by injecting liquidity into promising DeFi, RWA, and NFT protocols. And we push the industry's progress with our research and governance initiatives.
At Keyrock, we're not just envisioning the future of digital assets. We're actively building it.
Mission statement 
We are seeking a Head of Data to lead the strategic direction and operational excellence of the firm&rsquo;s trading data ecosystem. This role will be pivotal in ensuring the quality, reliability, and scalability of data that underpins trading, quantitative research, risk management, and decision-support functions..
The Head of Data will drive data excellence across the organisation by defining best practices, enhancing data reliability and performance, and enabling teams to derive meaningful insights and value from data.
The successful candidate combines deep technical expertise in data engineering and ML workflows with a strategic mindset and a strong understanding of trading-related data models and compliance requirements.
Job description<h3 class="jobSectionHeader">
Strategic Leadership</h3><ul><li>
Define and execute a data strategy focused on trading and market data, ensuring accuracy, timeliness, and integrity across the lifecycle.</li><li>
Collaborate with the Architecture Team to build a robust and compliant data architecture optimised for analytical workloads, operational systems, and regulatory obligations.</li><li>
Drive the organisation&rsquo;s data excellence agenda, embedding reliability and observability across the data platform, while ensuring alignment with established governance standards.</li><li>
Prioritise initiatives that enhance trading visibility, risk transparency, and business performance through data.</li><li>
Identify opportunities where data and ML capabilities can enhance trading performance, risk assessment, and business efficiency.</li></ul><h3 class="jobSectionHeader">
Architecture &amp; Platform Management</h3><ul><li>
Lead the implementation and evolution of cloud-native data platforms that support ingestion, transformation, and analytics of trading and financial datasets, in close collaboration with the Architecture Team.</li><li>
Standardise data ingestion and modelling patterns to ensure interoperability between systems.</li><li>
Collaborate closely with the Architecture Team to align data platform evolution with enterprise and application architecture principles.</li><li>
Ensure data systems meet performance, cost, and scalability targets across multiple environments.</li><li>
Drive the adoption of data engineering best practices that balance agility with operational excellence.</li></ul><h3 class="jobSectionHeader">
Governance, Quality &amp; Compliance</h3><ul><li>
Enforce and maintain robust data governance across the full lifecycle, including data lineage, access control, and retention.</li><li>
Partner with Security and Compliance teams to ensure adherence to SOC 2, ISO/IEC 27001, DORA, and other relevant frameworks.</li><li>
Ensure consistent metadata, documentation, and versioning across the data stack.</li><li>
Champion a data-driven culture, ensuring transparency, traceability, and auditability of all data assets.</li></ul><h3 class="jobSectionHeader">
Leadership &amp; Collaboration</h3><ul><li>
Build, lead, and mentor a high-performing Central Data Team (Data Engineering, Data Intelligence, Data Operation)</li><li>
Partner with Engineering, Architecture, Quant Research, Risk, and Finance to deliver unified, trusted, and scalable data solutions.</li><li>
Foster a culture of data reliability, accountability, and continuous improvement across teams.</li><li>
Define measurable data KPIs around latency, availability, and quality to continuously improve the data platform.</li><li>
Promote collaboration between data producers and consumers to streamline trading analytics, reporting, and automation.</li><li>
Champion a data-driven and experimentation-driven culture across the organisation.</li></ul>
Background and experience<ul><li> 
10+ years of experience in data engineering, data architecture, or data platform leadership roles.</li><li>
Proven experience in building and managing trading or financial data platforms.</li><li>
Strong understanding of market data feeds, trade lifecycle, and financial data models.</li><li>
Expertise with modern data technologies (ClickHouse, PostgreSQL, Kafka, or equivalents.).</li><li>
Experience implementing ML Ops frameworks (e.g. MLflow, Kubeflow, Prefect, or SageMaker)</li><li>
Deep understanding of ETL/ELT pipelines, streaming architectures, and data lifecycle management.</li><li>
Experience working in Kubernetes and cloud-native environments (AWS preferred).</li><li>
Sound knowledge of data governance, security, and compliance best practices.</li><li>
Demonstrated ability to lead cross-functional teams and influence data-driven decision-making.</li></ul><h1 class="jobSectionHeader">
Preferred Qualifications</h1><ul><li>
Background in crypto markets, financial trading, quantitative research environments or other data-intensive industries.</li><li>
Exposure to real-time analytics, monitoring, and observability tools (Grafana, Prometheus, DataDog etc.)</li><li>
Understanding of DataOps, FinOps, and cost-optimised data management practices.</li><li>
Familiarity with distributed systems and high-throughput data processing (e.g. Ray, Dask, Spark).</li><li>
Experience with feature engineering, model lifecycle management, and data-driven research environments (e.g. JupyterHub).</li></ul> 
Our recruitment philosophy
We value self-awareness and powerful communication skills in our recruitment process. We seek fiercely passionate people who understand themselves and their career goals. We're after those with the right skills and a conscious choice to join our field. The perfect fit? A crypto enthusiast who&rsquo;s driven, collaborative, acts with ownership and delivers solid, scalable outcomes.
Our offer<ul><li>
Competitive compensation and flexible work arrangements.</li></ul><ul><li>
Autonomy in your time management thanks to flexible working hours and the opportunity to work remotely</li><li>
A leadership role driving the firm&rsquo;s trading data strategy and data excellence vision.</li><li>
A collaborative engineering culture with strong partnerships between Data, Architecture, Infrastructure and Platform teams.</li><li>
Competitive compensation and flexible work arrangements.</li><li>
The opportunity to shape an enterprise-grade data foundation that powers trading, analytics, and strategic decision-making at scale.</li><li>
The freedom to create your own entrepreneurial experience by being part of a team of people in search of excellence</li></ul>
As an employer we are committed to building a positive and collaborative work environment. We welcome employees of all backgrounds, and hire, reward and promote entirely based on merit and performance.
Due to the nature of our business and external requirements, we perform background checks on all potential employees, passing which is a prerequisite to join Keyrock.
https://keyrock.com/careers/</div>

Head Of Data

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