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Experience Level
Manager
Qualifications
Proven experience in data engineering and management roles. Strong understanding of data architecture, ETL processes, and data warehousing. Excellent leadership skills with the ability to manage and mentor a diverse team. Proficiency in relevant technologies and programming languages. Strong problem-solving skills and a strategic mindset.
About the job
We are seeking an experienced Engineering Manager to lead our Data Platform team at learneo. You will be responsible for driving the design, development, and implementation of our data architecture, ensuring scalability and performance. Your leadership will foster innovation and collaboration, enhancing our data capabilities and supporting our strategic goals.
About learneo
learneo is a forward-thinking organization dedicated to harnessing the power of data to drive business decisions. We value innovation, collaboration, and excellence, and we are committed to providing our employees with opportunities for professional growth and development.
We are seeking an experienced Engineering Manager in Data Engineering to lead our dynamic team at GroundTruth. As a key player, you will be responsible for overseeing data engineering projects, ensuring data integrity, and driving innovation within our data architecture. Your leadership will inspire team members to excel in their roles and contribute to our …
Founded in 1998, Inovalon is driven by the conviction that technology—particularly data—can revolutionize the healthcare ecosystem, enhancing both outcomes and cost-efficiency. We believe that our customers' success directly contributes to better healthcare. By providing data-driven solutions, we are making significant strides in this mission.As a united team at Inovalon, we focus on addressing the most pressing needs in healthcare through a culture of inclusion and innovation. Our commitment extends beyond our clients to the millions of patients and members they serve.Overview: The Data Engineering Manager will oversee a talented team of engineers, guiding the development and release of innovative products.
We are seeking an experienced Engineering Manager to lead our Data Platform team at learneo. You will be responsible for driving the design, development, and implementation of our data architecture, ensuring scalability and performance. Your leadership will foster innovation and collaboration, enhancing our data capabilities and supporting our strategic goals.
We are seeking a skilled and innovative Engineering Manager to lead our Data Platform team at QuillBot. In this pivotal role, you will oversee the development and enhancement of our data infrastructure, ensuring that our systems are scalable, reliable, and optimized for performance.Your responsibilities will include managing a talented team of engineers, setting technical direction, and collaborating with cross-functional teams to deliver high-quality data solutions. If you are passionate about harnessing data to drive insights and improve user experiences, we want to hear from you!
Join blend360 as a Data Engineering Manager and lead our dynamic data engineering team. In this pivotal role, you will oversee the development and implementation of innovative data solutions, ensuring seamless data flow and architecture. You will collaborate with cross-functional teams to enhance data accessibility and drive business intelligence initiatives.
We are looking for a skilled and visionary Engineering Manager to lead our Data Platform team at weekday-1. In this role, you will oversee the development and implementation of scalable data solutions that support our strategic initiatives. You will collaborate with cross-functional teams to enhance data accessibility, reliability, and performance, ensuring that our data platform meets the evolving needs of our users.As an Engineering Manager, you will be responsible for guiding a talented group of engineers, fostering an innovative environment, and driving technical excellence. Your leadership will be crucial in shaping the future of our data infrastructure.
About WPP Media WPP is a leader in creative transformation, utilizing the power of creativity to foster better futures for our workforce, the planet, our clients, and communities. Discover more at wpp.com. WPP Media stands as WPP’s global media collective. In an era where media is omnipresent, we unite the finest platforms, talent, and partnerships to unlock boundless growth opportunities. Explore further at wppmedia.com. At WPP Media, we cherish our culture and our people, which empowers us to deliver extraordinary experiences for both our clients and ourselves. In this position, embracing WPP and WPP Media’s united core values will be essential: Be Extraordinary by Leading Collectively to Inspire Transformational Creativity. Create an Open environment by Balancing People and Client Experiences through Trust. Lead Optimistically by Fostering Growth and Development to Mobilize the Enterprise. Key Responsibilities: Oversee the maintenance and enhancement of WPP’s Measure reporting platform, aligning it with client reporting needs. Utilize Google Cloud Platform applications to efficiently transfer data into client environments (Azure, GCP, etc.), enhancing performance and ensuring data quality and service excellence. Deploy and resolve issues with data collectors in Adverity to aggregate data from various media and agency systems. Enhance existing data “recipes” and transformations in SQL via DBT running on Google Cloud Platform, sharing scripts with a central repository. Develop and uphold data quality checks and procedures to proactively address data issues impacting reporting solutions. Collaborate with the program lead to sustain a development roadmap for new advertising platforms, reports, and provisioning destinations. Lead a team of two junior engineers, managing support tickets, troubleshooting issues, and fostering their professional growth. Exhibit proficiency in Google Cloud Platform and related technologies, ensuring adherence to industry best practices. Monitor automated jobs, addressing data issues as they arise.
At HackerRank, we empower innovative companies such as NVIDIA, Amazon, and Microsoft to hire and enhance the skills of the next generation of developers based on their abilities rather than their backgrounds. Our platform is trusted by over 2,500 forward-thinking organizations worldwide to foster strong engineering teams prepared for future challenges.In an era where humans and AI collaborate seamlessly, the definition of exceptional technical talent is evolving. We provide companies with superior methods to identify and nurture next-generation skills.Our team at HackerRank is passionate about the impact of our work, paying attention to the smallest details to ensure our customers achieve remarkable success with products they genuinely love. We operate with a sense of urgency and believe that excellence is achieved through high standards.About the Role:As the Engineering Manager - Data, you will lead and develop our Data Engineering team while establishing the technical vision for our data platform. You will be responsible for building scalable and reliable systems that drive analytics, experimentation, AI models, and executive decision-making across the organization.This critical leadership position combines platform architecture, data strategy, and team development.What You Will Do:Own and direct the technical roadmap for the Data Engineering team, ensuring quarterly planning and delivery.Implement product plans and manage delivery commitments with a strong emphasis on quality and timelines.Architect and construct scalable backend systems, data pipelines, and infrastructure components in line with 12-factor app principles.Design and execute robust data warehouses and strategies for SaaS products.Define clear quarterly objectives for the team and guide efforts to achieve measurable results.Mentor engineers and assist them in delivering their best work.Establish clear career paths for team members and support their professional development.Lead technical discussions and assist engineers in making crucial architectural and design choices.Collaborate closely with the Product team to develop and refine the data and platform roadmap.
About UsAt Rox, our mission is to empower individuals to excel in their work.Our innovative platform equips sellers with autonomous revenue agents, allowing them to concentrate on what they excel at: selling. Just as coding agents transformed engineering, our revenue agents revolutionize customer interactions.We are pioneering the revenue stack by developing the world’s first revenue operating system, covering everything from the application layer to the context system. With Rox, humans transition to orchestration roles while agents handle the complete customer lifecycle.Rox serves Global 2000 leaders across banking, hardware, construction, and advanced AI sectors, while also supporting top-tier AI innovators such as Ramp and Cognition.Our success is grounded in a shared belief in our mission, paired with an unwavering dedication to making it a reality.The TeamOur world-class team is the driving force behind our mission to redefine business operations.Our team members have:Founded and successfully exited companiesHeld top positions at Google, AWS, Confluent, and New RelicAchieved gold medals in IMO and IOIPublished groundbreaking research papersWe have raised $50M from esteemed investors, including Sequoia (Alfred Lin), General Catalyst (Hemant Taneja), Google Ventures, Elad Gil, and Chris Ré.Core PrinciplesTaste: Craft beautiful experiences.We strive for perfection in every detail, ensuring that every interaction aids sellers in their tasks and enhances their experience. We are committed to continuous improvement and innovation.Obsession: Commit unreasonably.Our commitment to our craft is unwavering. We proactively drive value and are dedicated to learning and improving our services daily.Action: Get it done.Execution is key. We prioritize thoughtful yet prompt decision-making and swift delivery, building trust through our actions.
* Design, implement, and maintain robust data ingestion pipelines that are secure and scalable, sourcing data from diverse systems such as SAP, Salesforce, SharePoint, APIs, and legacy manufacturing platforms.* Develop and enhance metadata-driven services to facilitate discoverability, access governance, and operational transparency of enterprise data.* Act as a technical authority and cross-functional facilitator for the acquisition, quality, and compliance of both structured and unstructured data.* Establish and oversee comprehensive data quality management, including monitoring and reporting.* Contribute to a global data engineering team that supports all major business domains.* Spearhead the ingestion and metadata service implementation for over 100 enterprise data sources.* Collaborate with IT, cybersecurity, infrastructure, and architecture teams to ensure secure and sustainable data delivery.Main Responsibilities:▪ Construct and maintain extraction services using Python or Scala (e.g., Debezium Server, custom APIs, rclone).• Implement Change Data Capture (CDC), delta, and event-based patterns.• Facilitate push-based HTTP and Kerberos-authenticated DLT delivery.• Establish, operate, and troubleshoot SAP extraction using tools like Theobald Extract Universal.• Integrate with systems such as Salesforce, SharePoint, and other API or file-based endpoints.▪ Develop a user-friendly, web-accessible data catalog application, featuring dataset profiles, metadata, and usability enhancements.▪ Integrate dataset discoverability, preview/exploration features, and lineage information using Unity Catalog as a backend metadata system.▪ Design and implement structured access request workflows encompassing submission, approval chains, audit trails, and enablement triggers.• Conduct design reviews with the Cybersecurity team.• Ensure proper documentation and compliance for all interfaces and data ingress points.• Manage audit and traceability requirements.• Collaborate with IT and business users to translate requirements into scalable technical solutions.• Serve as a technical escalation point for complex source integration challenges.▪ Define and execute a multi-layered data quality framework, incorporating unit-level, integration-level, and cross-pipeline validation rules.▪ Establish centralized, version-controlled storage of Data Quality (DQ) rules, integrating them into orchestration and CI/CD pipelines.▪ Implement automated DQ monitoring with varying severity levels (Critical, High, Medium, Low) and enable flagging, filtering, and quarantining mechanisms at relevant pipeline stages.▪ Work closely with source system owners and business stakeholders to define meaningful and actionable DQ thresholds.
Join our innovative team at Continental as a Data Engineering IT Engineer, where you'll play a crucial role in driving our data initiatives. In this position, you will design, develop, and maintain robust data pipelines and architectures that support our advanced analytics and business intelligence goals. Collaborate with cross-functional teams to ensure data quality and integrity while leveraging cutting-edge technologies to enhance our data-driven decision-making.
Blend360 is seeking a dynamic and experienced Senior Data Engineering Manager to lead our data engineering initiatives in Hyderabad. In this role, you will be responsible for designing and implementing robust data pipelines, ensuring high data quality, and delivering actionable insights that drive business decisions.Your expertise in big data technologies and team leadership will be crucial to the success of our projects. You will collaborate with cross-functional teams to define data requirements and develop solutions that align with our strategic goals.
About the RoleJoin us at Meesho as an Engineering Manager, where you will spearhead our Data Platform initiatives. In this pivotal role, you will be responsible for the architecture and continuous enhancement of a Petabyte-scale Data Lakehouse and a Self-serve Analytics Platform. This infrastructure will empower real-time decision-making across our organization. You will champion consistency and quality by establishing effective engineering strategies, overseeing multiple engineering projects, ensuring timely delivery, facilitating cross-functional collaboration, and mentoring a team of engineers to help them evolve into high-performing contributors.
Galaxy Digital Services is a global company focused on digital assets and data center infrastructure, with a strong presence in Mumbai. The team develops products and services that support advancements in finance and artificial intelligence, using blockchain technology and digital asset innovation to reshape how value moves worldwide. The company’s platform spans trading, investment banking, asset management, staking, self-custody, and tokenization. Galaxy also invests in and operates advanced data centers to meet growing demand for scalable energy and computing power, especially for AI and high-performance computing in the U.S. With headquarters in New York City and offices across North America, Europe, the Middle East, and Asia, Galaxy brings together deep crypto expertise and institutional experience. The company supports institutions, startups, and developers as they navigate a digitally native economy, guided by the vision of CEO and Founder Michael Novogratz. Our values Galaxy values diversity, independent thinking, and rapid innovation. The culture emphasizes transparency, high performance, and a mission-driven approach. Team members are encouraged to challenge ideas openly and make independent decisions, all while working together to achieve ambitious goals. Excellence guides every pursuit. Selective approaches improve effectiveness. Alignment strengthens collaboration. Open disagreement is welcome. Independent decision-making is respected. Building exceptional teams is a priority. For more details about Galaxy’s business and offerings, visit www.galaxy.com.
Become a vital member of our innovative and results-driven Data team as a Data Platform Engineer. In this pivotal role, you will be entrusted with the secure management and storage of trading-related data for our teams in India. You will also oversee and enhance our shared data access and processing systems, which are crucial for a wide range of trader analytics, simulations, reporting, and insights. The ideal candidate will possess a solid foundation in systems engineering, ideally with experience in financial markets, and will demonstrate expertise in Linux administration, orchestration and automation tools, systems hardware architecture, and data storage and protection technologies.
Join Continental as a Data Engineering IT Engineer in our innovative team in Bengaluru. In this role, you will be responsible for designing and implementing data solutions that drive business intelligence and analytics. You will work closely with cross-functional teams to enhance data architecture and ensure data integrity, enabling data-driven decision-making across the organization.Your expertise in data processing and engineering will be crucial as you develop scalable data pipelines and optimize data workflows. This is an exciting opportunity to contribute to cutting-edge projects and make a significant impact on our technological landscape.
We are seeking an experienced Data Engineering Manager to lead our data engineering team. In this role, you will oversee the design, development, and implementation of scalable data pipelines and architecture. You will collaborate with cross-functional teams to empower data-driven decision-making across the organization.
About InvoiceCloud: InvoiceCloud is a rapidly expanding fintech pioneer, honored with 20 prestigious awards in 2025, including recognition from USA TODAY and Boston Globe as a Top Workplace, multiple SaaS Awards for Best Solution in Finance and FinTech, and national customer service accolades from Stevie and the Business Intelligence Group. Our mission to eliminate digital exclusion and simplify payment processes for essential services has garnered accolades, showcasing our leadership in AI innovation and responsible practices. We provide an award-winning, purpose-led environment where exceptional talent flourishes. Discover more at InvoiceCloud.com. Senior Manager, Database EngineeringLocation: Hyderabad, IndiaOverviewWe are looking for a strategic and execution-oriented Senior Manager of Database Engineering to lead our Hyderabad Data Engineering teams in designing, modernizing, and scaling our enterprise data platforms. This leader will drive innovation across OLTP, Data Warehousing, and AI/ML workloads while nurturing and mentoring a high-performing engineering team.This role requires a blend of deep technical acumen and operational excellence. The ideal candidate has a proven track record in scaling cloud data platforms, fostering robust engineering cultures, and delivering resilient, secure, and high-performance database systems in fast-paced environments.
Clari seeks a Manager, Engineering to lead its Data Science team in Bengaluru, India. This position guides engineers and data scientists as they create and refine products that help drive smarter business decisions. Role overview This manager oversees projects focused on data science, working with a group dedicated to building and improving data-driven products. The team’s work directly supports the company’s ability to make informed choices. What you will do Lead and mentor a team engaged in data science initiatives Supervise the design, development, and enhancement of data-focused products Collaborate with engineers and data scientists to deliver solutions that support business needs Team culture Clari’s Data Science group values collaboration and encourages innovation. Managers play an important role in shaping technical direction and supporting the growth of their teams.
About InvoiceCloud:InvoiceCloud stands as a dynamic leader in the fintech sector, having earned 20 prestigious awards in 2025, including recognitions from USA TODAY and Boston Globe as Top Workplaces. Our accolades also include multiple SaaS Awards for Best Solution for Finance and FinTech, alongside national customer service honors from Stevie and the Business Intelligence Group. Our mission focuses on reducing digital exclusion while restoring simplicity and dignity in the payment process for essential services. In addition, we are recognized for our leadership in AI maturity and responsible innovation. Join us in an award-winning, purpose-driven environment where exceptional talent thrives. Discover more at InvoiceCloud.com.Job Details:The Data Engineer is responsible for designing, constructing, and optimizing scalable data pipelines that link various source systems to InvoiceCloud’s enterprise data warehouse. This role is crucial for supporting reliable analytics, data science, and reporting through the development of automated workflows, enhancement of performance, and upholding high data quality standards.You will collaborate extensively with technology teams and business stakeholders to translate operational and analytical requirements into robust data warehouse solutions that facilitate informed enterprise decision-making.
