data engineering manager

Cognite

<div>
 Cognite operates at the forefront of
 <strong>
  industrial digitalization, building AI
 </strong>
 and data solutions that solve some of the world&rsquo;s hardest, highest-impact problems. With unmatched industrial heritage and a comprehensive suite of AI capabilities, including low-code AI agents, Cognite accelerates the digital transformation to drive operational improvements.
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 Our moonshot is bold: unlock $100B in customer value by 2035 and redefine how global industry works.
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 What Cognite is Relentless to achieve
 <br/>
 <br/>
 We thrive in challenges. We challenge assumptions. We execute with speed and ownership. If you view obstacles as signals to step forward - not step back - you&rsquo;ll feel at home here. Join us in this venture where AI and data meet ingenuity, and together, we forge the path to a smarter, more connected industrial future.
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 How you&rsquo;ll demonstrate
 <strong>
  Ownership
  <br/>
  <br/>
 </strong>
 The main role of a people manager in Cognite INDIA Delivery is to ensure long term professional development of our data engineers and data scientists colleagues in Cognite as well as employee engagement. The position will report to the Head of professions in GSS INDIA and will be part of the profession leadership team. The people managers will be tentatively split into portfolios, similar to the portfolio managers to have an aligned responsibility regarding reviewing scope and delivery, as well as coaching and feedback to the projects.
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 <br/>
 <ul>
  <li>
   You will work on client projects, but only up to 70% of your capacity (we strive for 50% billable hours on average). This will be decided based on the workload, after discussing with the head of profession.
  </li>
  <li>
   Performance review and coaching of team members: Building, developing, and managing a team of highly skilled professionals who will be instrumental in driving the success of professional services projects, including conducting 1:1s and performance reviews
  </li>
  <li>
   Drive project success by thoroughly reviewing Statements of Work (SOW) and ensuring your team is fully prepared for execution. Collaborate in SOW reviews to instill confidence in our ability to meet customer and sales expectations. Proactively ready team members for project delivery by identifying skill gaps and providing necessary upskilling and coaching. Ensure team members are equipped to fulfill project scope effectively.
  </li>
  <li>
   Training and upskilling people: take charge of organizing professional development sessions for the team on relevant topics for the professions and the projects we work on
  </li>
  <li>
   Take a proactive role in staffing processes by championing your team's interests. Actively seek optimal matches between project requirements and available team members, while identifying and addressing potential skill gaps.
  </li>
  <li>
   Strategy and planning: contribute to the profession goals alignment with Cognite VMPM as well as Global Delivery KPIs, take initiatives and lead actions to address EES concerns
  </li>
  <li>
   Collaborate with profession leadership and IIT to drive initiatives for standardizing our professional practices.
  </li>
  <li>
   Facilitate interaction with other parts of GSS and Cognite organization, by, for example, providing feedback to the portfolio managers/global service offering team on how the process of SOW can be improved, collecting and prioritising feedback to Product on bugs and features.
  </li>
  <li>
   Lead the recruitment process in order to identify new talents for the team, both internally and externally
   <br/>
   <br/>
  </li>
 </ul>
 The Impact you bring to Cognite
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 <br/>
 <ul>
  <li>
   High visibility and possibility for having impact in Cognite
  </li>
  <li>
   Have impact on the way we deliver our products and projects and help shape the future of Project Delivery in Cognite
  </li>
  <li>
   Be a part of the professional leadership team within GSS
  </li>
  <li>
   Learn about and help us shape how we do partner deliveries in GSS
  </li>
  <li>
   Help our Data Engineers/Data Scientists grow and develop
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   <br/>
  </li>
 </ul>
 <em>
  <strong>
   Equal Opportunity
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   <br/>
  </strong>
 </em>
 <em>
  Cognite is committed to creating a diverse and inclusive environment at work and is proud to be an equal opportunity employer. All qualified applicants will receive the same level of consideration for employment.
 </em>
</div>


Data Engineering Manager

Iksula

<p>Resume to arun@iksula.com Job Description: hashtag#DataEngineering hashtag#DeliveryManager hashtag#mumbai hashtag#iksula Company: Iksula Location: Mumbai Experience: 10&ndash;15 Years Employment Type: Full-Time Work Mode: Hybrid / Onsite (as per business requirement)Role OverviewIksula is seeking an experienced Data Engineering Delivery Manager to lead end-to-end delivery of data engineering projects. The role involves managing large-scale data platforms, leading cross-functional teams, ensuring timely delivery, and acting as a key interface between clients and internal engineering teams.Key ResponsibilitiesOwn delivery of multiple data engineering programs across clientsLead and mentor data engineers, architects, and technical leadsManage project planning, execution, timelines, and budgetsEnsure high-quality delivery of data pipelines, platforms, and analytics solutionsCollaborate with stakeholders to define requirements and success metricsDrive Agile/Scrum delivery practices and continuous improvementHandle client communication, status reporting, and escalationsEnsure adherence to data governance, security, and compliance eEligibility CriteriaBE / BTech / MCA / MSc (Computer Science or related)10&ndash;15 years of overall experience in data engineering &amp; deliveryPrior experience as Delivery Manager / Program Manager / Senior ManagerExperience working with enterprise or global clientsWhat Iksula OffersOpportunity to lead large-scale data transformation programsWork with cutting-edge cloud &amp; data technologiesLeadership role with high visibility and impactCompetitive compensation &amp; growth opportunitiesHow to Apply Share your Resume + &ldquo;Data Engineering Delivery Manager &ndash; Mumbai&rdquo; Location: hashtag#MumbaiKeywords / Tagshashtag#Data hashtag#Engineering Delivery Manager | hashtag#Data Platform Manager | hashtag#BigData Delivery | hashtag#Cloud Data Engineering | Mumbai Jobs | Iksula Careers hashtag#aiml</p><p>Job Type: Full-time</p><p>Pay: ₹3,000,000.00 - ₹4,500,000.00 per year</p><p>Work Location: In person</p>

data engineering delivery manager

Envoy global

<div><div><p>Envoy Global is a proven innovator in the global immigration space. Our mission combines our industry-leading tech platform with holistic service to streamline, simplify and expedite the immigration process for employers and individuals.</p></div><p></p>
<div>
<p>We have an exciting opportunity within <b>Envoy Global'</b>s Data &amp; Analytics team for an experienced <b>Senior Manager, Data Warehousing</b> to join us on a full‑time, permanent basis. This role is responsible for leading a team of data engineers in designing, building, and optimizing scalable data platforms that support analytics, reporting, and enterprise-wide data initiatives.</p>
<p>
As a key member of the Data &amp; Analytics sub‑department, this position will play a critical role in shaping Envoy's data engineering roadmap and ensuring the delivery of high‑quality, secure, and reliable data assets. The Senior Manager will partner closely with BI &amp; Analytics leaders, Architecture, DataOps, and Engineering teams to build data models, pipelines, and integration frameworks that power meaningful insights across the organization. This role also involves mentoring engineering talent, driving data governance standards, and contributing to an Agile environment to ensure timely and impactful delivery of data solutions.</p>
</div>
<p><b>As our Senior Manager, Data Warehousing, you will be required to:</b></p>
<ul>
<li>Responsible for planning and developing technical roadmap for data and analytics platforms</li>
<li>Lead all aspects of the design, implementation, and maintenance of data engineering pipelines in our Azure environment including integration with a variety of data sources</li>
<li>Responsible for building robust data models that support dimensional model data warehouse operations</li>
<li>Collaborate with Data Analytics and DataOps teams and other partners in Architecture, Engineering and Devops teams to delivery high quality data platforms that enable analytics solutions for the business</li>
<li>Ensure data engineering standards are in line with established principles of data governance, data quality and data security</li>
<li>Monitor and optimizes the performance of data pipelines, ensuring they meet SLAs in terms of data availability and quality</li>
<li>Hire, manage and mentor a team of Data Engineers and Data Quality Engineers</li>
<li>Communicate clearly and effectively with stakeholders</li>
<li>Participate in an Agile/Scrum methodology to deliver high-quality releases every few weeks</li>
</ul>
<p><b>To apply for this role, you should possess the following skills, experience and qualifications:</b></p>
<ul>
<li>Minimum 5 years of technical experience in one or more of the cloud-based data warehouse/data lake platforms such as AWS, Snowflake, Azure Synapse</li>
<li>Minimum 8 years of ETL experience using SSIS, ADF or another equivalent tool</li>
<li>Knowledgeable in Data Modeling and Data warehouse concepts</li>
<li>Demonstrated ability to write SQL/TSQL queries to retrieve/modify data</li>
<li>Knowledge and know-how to troubleshoot potential issues, and experience with best practices around database operations</li>
<li>Ability to work in an Agile environment</li>
<li>Ability to learn new tools and technologies and adapt to an evolving tech-scape</li>
<li>Experience with one or more of visualization tools such as Power BI, Tableau, SpotFire, TIBCO, QlikView, MicroStrategy, Information Builders, and other reporting and analytical tools is a plus</li>
<li>Bachelor's or Master's in Computer Science OR Data Analytics</li>
<li>10+ years of experience as a Data Engineer with 3+ years of experience in a managerial role</li></ul><br>
<p></p>
<p><b><i>
If this role excites you, please take a moment to complete the questionnaire below and attach your current resume. We look forward to your prompt response.</i></b></p></div><p></p>

Senior Manager, Data Warehousing

Envision Employment Solutions

<p><b>Envision Employment Solutions</b> is currently hiring a <b>Data Science Manager</b> on behalf of one of our partners, a leader in the retail Motor Vehicles field.</p> Job Summary <p>As a Data Science Manager, you will manage and guide a multidisciplinary team of data scientists, BI analysts, and data engineers. Your primary responsibility will be to lead the development and implementation of advanced analytics, business intelligence solutions, and data engineering processes that drive strategic business insights and decision-making. You will ensure the successful execution of data projects, maintain high data integrity, and align data initiatives with overarching business goals. You'll be a part of a diverse and dynamic team that values ownership and encourages positive disruption.</p> Responsibilities <ul> <li>Manage, mentor, and develop a multidisciplinary team of data scientists, BI analysts, and data engineers, fostering a culture of collaboration and innovation.</li> <li>Lead the development and implementation of advanced analytics, business intelligence solutions, and data engineering processes to address complex business challenges.</li> <li>Work with cross-functional teams to uncover opportunities for leveraging data to drive business strategies and solutions.</li> <li>Ensure the accuracy, reliability, and integrity of data used in analysis, modeling, and reporting.</li> <li>Communicate findings and insights to senior management and other key stakeholders in a clear and impactful manner.</li> <li>Stay abreast of the latest advancements in data science, machine learning, BI tools, and data engineering technologies.</li> <li>Oversee the deployment of machine learning models into production systems and ensure seamless integration with BI and data engineering solutions.</li> <li>Maintain comprehensive documentation of data science, BI, and data engineering processes, methodologies, and best practices.</li> <li>Monitor and optimize the performance of data systems and solutions across the organization.</li> </ul> Qualifications <ul> <li>5 to 7 years in a data-related role, with at least 2 years in a leadership or managerial position.</li> <li>Extensive experience in statistical analysis, machine learning, business intelligence, and data engineering.</li> <li>Proficiency in programming languages such as Python or R.</li> <li>Strong proficiency in BI tools such as Tableau, Power BI, or Looker.</li> <li>Advanced SQL skills, with the ability to query and manipulate complex data sets efficiently.</li> <li>Experience with data warehousing concepts and technologies (e.g., Google BigQuery, Snowflake).</li> <li>Proficient in data modeling, ETL (Extract, Transform, Load) processes, and data pipeline development.</li> <li>Strong analytical and problem-solving skills, with the ability to translate business requirements into technical solutions.</li> <li>Excellent communication skills, capable of presenting complex information clearly and concisely.</li> <li>Proactive, innovative mindset with keen attention to detail.</li> <li>Ability to manage multiple projects and priorities in a fast-paced environment.</li> <li>Experience with data visualization tools and techniques.</li> <li>Having an automotive background is a <b>PLUS</b>.</li> </ul>

Data Science Manager

Vanta

<div><div><p>Location</p><div>
Remote U.S.</div></div><div><p>
Employment Type</p><div>
Full time</div></div><div><p>
Location Type</p><div>
Remote</div></div><div><p>
Department</p><div>
Engineering</div></div><div><p>
Compensation</p><ul><div><p>
Cash Range $238K &ndash; $280K &bull; Offers Equity &bull; This role is also eligible for medical benefits, 401(k) plan, and other company perk programs.</p></div></ul></div></div>
<br><div><div>At Vanta, our mission is to help businesses earn and prove trust.<b> </b>We believe that security should be monitored and verified continuously, and we empower companies to practice better security and prove it with ease. Vanta has a kind and talented team, and while some have prior security experience, many have been successful at Vanta without it.</div><p></p><p>
As a Senior Engineering Manager leading our Reporting &amp; Enterprise Hub teams, you'll shape how Vanta's largest enterprise customers manage and visualize their compliance programs at scale. This role sits at the intersection of data products, enterprise scalability, and product innovation&mdash;delivering visibility and actionable insights that empower organizations like PE firms and JPMC-scale companies to manage complex compliance programs with strict financial boundaries between business units.</p><p></p><p>
You'll build and lead a team of engineers across two distinct squads: the Reporting team focused on evolving our reporting product offering to meet enterprise data needs, and the Enterprise Hub team building management capabilities for large organizations managing GRC activities across multiple business units. This role represents an exciting opportunity to shape the future of how enterprise customers interact with their compliance data.</p><p></p><p>
This is a high-impact, high-visibility role where you'll directly influence Vanta's ability to serve enterprise customers and multi-business-unit organizations. You'll navigate 0-1 product development opportunities while evolving traditional reporting into modern data products that integrate seamlessly with customer BI tools. With a strong growth trajectory and the potential for career advancement within our rapidly growing GRC organization, you'll tackle interesting technical challenges around scalable reporting infrastructure, data product architecture, and multi-tenancy at the business unit level.</p><p></p><p><i>
Visit our </i><i>Vanta Engineering Blog</i><i> to learn more about what our team is working on!</i></p><p></p><p><b>
What you&rsquo;ll do as a Senior Engineering Manager at Vanta:</b></p><ul><li><div>
Build and scale two high-performing engineering teams by recruiting, hiring, and developing engineers across Reporting and Enterprise Hub, identifying talent gaps and continuously raising the bar</div></li><li><div>
Drive execution on multiple strategic initiatives simultaneously, including reporting infrastructure improvements, Enterprise Hub development, and My Program dashboard capabilities</div></li><li><div>
Set technical direction and guide product strategy for data products, working closely with 2 Product Managers and cross-functional partners to evolve our enterprise data strategy</div></li><li><div>
Operate effectively in ambiguous environments, balancing 0-1 product development with infrastructure investments while maintaining team velocity and quality</div></li><li><div>
Partner with Product, Design, and business stakeholders to define and push down compliance definitions across business units, creating a unified enterprise experience</div></li><li><div>
Coach, mentor, and create an environment where your team can do their best work and deliver significant value to customers</div></li><li><div>
Play an integral role in laying the foundation for Vanta's engineering culture</div></li></ul><p></p><p><b>
How to be successful in this role:</b></p><ul><li><div>
Have four or more years of professional experience in a full-time engineering management role, with proven experience managing 10-15+ engineers across multiple teams or product areas</div></li><li><div>
Have managed 2+ distinct product areas or teams simultaneously, demonstrating ability to operate effectively in ambiguous environments and define strategy where it doesn't exist</div></li><li><div>
Possess strong technical depth&mdash;ideally as a former senior or staff engineer&mdash;with ability to guide data infrastructure and product architecture decisions</div></li><li><div>
Have demonstrated track record of delivering results across multiple workstreams while maintaining quality and team velocity</div></li><li><div>
Have experience setting product and technical strategy in partnership with Product and Design teams</div></li><li><div>
Have participated in developing or driving engineering-wide initiatives in a prior role</div></li><li><div>
Are a strong decision maker who effectively balances ambiguity, available data, speed, and quality</div></li><li><div>
Can influence cross-functional stakeholders and adjacent teams as an effective communicator and story-teller</div></li></ul><p><b>
What you can expect as a Vantan:</b></p><ul><li><div>
Industry-competitive salary and equity</div></li><li><div>
Comprehensive medical, dental, and vision coverage, with 100% of employee-only benefit premiums covered for most medical plans.</div></li><li><div>
16 weeks fully-paid Parental Leave for all new parents</div></li><li><div>
Health &amp; wellness stipend</div></li><li><div>
Remote workspace, internet, and cellphone stipend</div></li><li><div>
Commuter benefits for team members who report to the SF and NYC office</div></li><li><div>
Family planning benefits</div></li><li><div>
Matching 401(k) contribution with immediate vesting</div></li><li><div>
Flexible work hours and location</div></li><li><div>
Flexible PTO policy, plus 80 hours of Sick Time</div></li><li><div>
11 company-paid holidays</div></li><li><div>
Virtual team building activities, lunch and learns, and other company-wide events!</div></li><li><div>
Offices in SF, NYC, London, Dublin, and Sydney</div></li></ul><p></p><p>
To provide greater transparency to candidates, we share base pay ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar-stage growth companies. Final offer amounts are determined by multiple factors and may vary based on candidate location, skills, depth of work experience, and relevant licenses/credentials.
</p><p></p><p>#LI-remote</p><p></p><p><i>
At Vanta, we are committed to hiring diverse talent of different backgrounds and as such, it is important to us to provide an inclusive work environment for all. We do not discriminate on the basis of race, gender identity, age, religion, sexual orientation, veteran or disability status, or any other protected class. As an equal opportunity employer, we encourage and welcome people of all backgrounds to apply.</i></p><p></p><p><b>
About Vanta</b></p><p>
We started in 2018, in the wake of several high-profile data breaches. Online security was only becoming more important, but we knew firsthand how hard it could be for fast-growing companies to invest the time and manpower it takes to build a solid security foundation. Vanta was inspired by a vision to restore trust in internet businesses by enabling companies to improve and prove their security. From our early days automating security monitoring for compliance standards like SOC 2, HIPAA and ISO 27001 to creating the world's leading Trust Management Platform, our vision remains unchanged.</p><p>
Now more than ever, making security continuous&mdash;not just a point-in-time check&mdash; is essential. Thousands of companies rely on Vanta to build, maintain and demonstrate their trust&mdash; all in a way that's real-time and transparent.</p></div>

Sr. Engineering Manager, Reporting & Enterprise Hub

Al-Futtaim

<div><p><b>Job Requisition ID: </b>174470</p>
<p>
Established in the 1930s as a trading business, Al-Futtaim Group today is one of the most diversified and progressive, privately held regional businesses headquartered in Dubai, United A&rdquo;rab Emirates. Structured into five operating divisions; automotive, financial services, real estate, retail and healthcare; employing more than 35,000 employees across more than 20 countries in the Middle East, Asia and Africa, Al-Futtaim Group partners with over 200 of the world's most admired and innovative brands. Al-Futtaim Group&rsquo;s entrepreneurship and relentless customer focus enables the organisation to continue to grow and expand; responding to the changing needs of our customers within the societies in which we operate.</p>
<p>
By upholding our values of respect, excellence, collaboration and integrity; Al-Futtaim Group continues to enrich the lives and aspirations of our customers each and every day.</p><p></p><p><br>
<b>
Overview Of The Role:</b></p><br>
<ul>
<li>The Data Application Manager (Retail) is pivotal in establishing and optimizing data management capabilities within the Retail sector of Al-Futtaim. This role focuses on supporting and enhancing the data strategy through effective data engineering, analytics, and operational practices. The manager acts as a bridge between retail business needs and technical execution, ensuring that data is accurately managed and harnessed for maximum business value. Working within the Global Technology &amp; Digital Platform framework, the role demands close collaboration with various stakeholders including IT partners, data governance professionals, and enterprise architects to ensure compliance with data standards and security.</li>
<li>An essential component of the position involves managing Azure-based data architectures and enhancing the data integration from various retail systems into cohesive platforms. The role also involves defining and measuring KPIs using interactive dashboards and leading the analytics and reporting initiatives. In essence, the manager contributes to driving the technological advancement and data-informed decisions within the retail division.</li></ul><br>
<p></p>
<p><b>
What You Will Do:</b></p><br>
<p></p>
<ul>
<li>Develop and implement data application solutions aligned with retail business objectives.</li>
<li>Collaborate with business stakeholders to translate requirements into technical solutions.</li>
<li>Manage design, development, and deployment of data applications leveraging existing tools and services.</li>
<li>Ensure integration of data from multiple retail systems into centralized platforms.</li>
<li>Define KPIs and build interactive dashboards for analytics and reporting.</li>
<li>Monitor and optimize data pipelines, ETL processes, and application performance.</li>
<li>Implement best practices for scalability and cost efficiency in Azure.</li>
<li>Understand and enforce robust security measures, including identity management and role-based access control.</li>
<li>Collaborate with data science teams to support AI / ML use cases.</li>
<li>Manage a lean and high-performance team, mentoring and guiding data engineers, BI developers, and analysts.</li>
<li>Maintain and operationalize the data catalog, business glossary, and metadata management practices.</li>
<li>Oversee day-to-day Retail Data Operations.</li></ul><p><br>
<br>
<b>Required Skills To Be Successful:</b></p><br>
<p></p>
<ul>
<li>Proficiency in analytical solutions and data management, especially on Azure and SAP platforms.</li>
<li>Exceptional communication, facilitation, and stakeholder engagement skills.</li>
<li>Ability to manage and deliver Retail Data Projects with high attention to detail and a structured approach.</li>
<li>Strong analytical and problem-solving capabilities with an ability to drive organizational change across business and IT sectors.</li></ul><br>
<p><br>
<b>What Qualifies You For The Role:</b></p><br>
<p></p>
<ul>
<li>Bachelor&rsquo;s or Master&rsquo;s degree in Information Technology, Computer Science or related discipline.</li>
<li>12+ years of experience in Data Engineering and Analytics including implementation, transformation, and support.</li>
<li>Strong retail business domain knowledge and proficiency with data management tools and languages like Azure Platform, Azure Data Factory, Databricks, MS Fabric, SQL, Python, and PySpark.</li>
<li>Expertise in data modeling, data design activities, and experience with SAP solutions such as S/4, SAP BW, and SAP BO. Proficiency in PowerBI, Tableau, and Alteryx is essential.</li></ul><p></p><p><br>
We&rsquo;re here to provide excellent service but a little help from you can ensure a five-star candidate experience from start to finish.</p><br>
<p></p>
<p>Before you click &ldquo;apply&rdquo;: Please read the job description carefully to ensure you can confidently demonstrate <b>why</b> this opportunity is right for you and take the time to put together a well-crafted and personalised CV to further boost your visibility. Our global Talent Acquisition team members are all assigned to specific businesses to ensure that we make the best matches between talent and opportunities. We not only consider the requisite compatibility of skills and behaviours, but also how candidates align with our Values of Respect, Integrity, Collaboration, and Excellence.</p><br>
<p></p>
<p>As part of our candidate experience promise, we also want to make ourselves available to you throughout the application process. We make every effort to review and respond to every application.</p></div><p></p>

Data Application Manager - Retail

Clarivate

<div><p>We are looking for a Manager, Data Engineering, who will lead teams responsible for building, scaling, and operating enterprise-grade data architectures, including data lakes, data warehouses, and lakehouse platforms, that power Clarivate&rsquo;s AI- and analytics-driven products. We are building the next generation of AI-powered analytics, insights, and decision-support platforms for the global Life Sciences and Healthcare (LSH) community.</p><p></p><p>
These Product platforms enable mission-critical use cases such as drug discovery acceleration, treatment effectiveness analysis, real-world evidence generation, and patient journey insights. This role blends technical leadership, data architecture expertise, dimensional modeling, and people management.</p><p>
You will guide teams in delivering robust data pipelines, analytical data models (star and snowflake schemas), analytics-ready datasets, and AI-enabled data foundations, while collaborating closely with product managers, architects, data scientists, and platform engineering teams.</p><p></p><p>
If you&rsquo;re excited to work at the intersection of data engineering, data architecture, analytics, and AI&mdash;and to power products that accelerate scientific discovery and improve patient outcomes&mdash;Clarivate is the place for you.</p><p></p><p><b>
About You &ndash; experience, education, skills, and accomplishments</b></p><ul><li>
Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, Engineering, Analytics, or a related field.</li><li>
Minimum 10+ years of experience in data engineering, analytics engineering, or data-intensive software engineering</li><li>
Minimum 2+ years of people management or technical leadership experience</li><li>
Strong experience designing enterprise data architectures, including data lakes, data warehouses, and/or lakehouse platforms</li><li>
Proven expertise in dimensional data modeling (star schema, fact/dimension tables) for analytics and BI</li><li>
Experience building or supporting analytics- or AI-enabled data platforms</li><li>
Exposure to US Healthcare data such as claims, clinical data, payer/provider systems, or real-world evidence</li><li>
Hands-on experience with cloud platforms (AWS, Azure, or GCP)</li><li>
Strong proficiency in SQL and working knowledge of Python or ETL Tools</li><li>
Bachelor&rsquo;s or master&rsquo;s degree in computer science, Data Science, Engineering, Analytics, or a related field</li></ul><p></p><p><b>
It would be great if you also had . . .
</b></p><ul><li>Experience with Snowflake, Databricks, Spark, or similar data warehouse/lakehouse platforms</li><li>
Hands-on experience implementing enterprise data lakes and data warehouses at scale</li><li>
Exposure to ML pipelines, MLOps, or close collaboration with data science teams</li><li>
Familiarity with GenAI, LLMs, vector databases, or emerging AI-driven data architectures</li><li>
Experience working in regulated healthcare or life sciences environments</li></ul><p></p><p><b>
What would you be doing in this role:</b></p><p><b>
Data Architecture &amp; Platform Engineering</b></p><ul><li>
Lead the design and evolution of scalable data architectures, including data lakes, data warehouses, and lakehouse platforms</li><li>
Define architectural patterns for batch, streaming, and real-time data processing</li><li>
Ensure platforms are optimized for performance, scalability, cost efficiency, reliability, and security</li><li>
Partner with enterprise and solution architects to align data architecture with long-term platform strategy</li><li>
Data Engineering &amp; Analytical Modeling</li><li>
Lead the development and operation of scalable, reliable data pipelines supporting analytics and AI use cases</li><li>
Design, govern, and review dimensional data models, including fact and dimension tables, star and snowflake schemas</li><li>
Establish best practices for data ingestion, transformation, modeling, and query optimization</li><li>
Enable self-service analytics and BI through well-structured, high-quality analytical datasets</li></ul><p><b>
AI &amp; Analytics Enablement</b></p><ul><li>
Partner with data science and ML teams to productionize AI/ML models using robust data pipelines</li><li>
Enable consistent metrics and KPIs by delivering trusted analytical layers on top of data lake and warehouse platforms</li><li>
Translate product and business requirements into scalable analytical and architectural data solutions</li><li>
Data Quality, Governance &amp; Compliance</li><li>
Champion data quality, observability, consistency, and metric integrity across platforms</li><li>
Ensure data architecture and engineering practices meet healthcare-grade security, governance, and compliance requirements</li><li>
Implement and support data lineage, auditability, and traceability across lakes, warehouses, and analytical layers</li></ul><p><b>
Leadership &amp; Delivery Excellence</b></p><ul><li>
Manage, mentor, and develop a team of data engineers and analytics engineers</li><li>
Drive sprint planning, execution, and predictable delivery in partnership with product and engineering leadership</li><li>
Participate in hiring, onboarding, coaching, and performance management to build high-performing teams</li></ul><p><b>
Innovation &amp; Cross-Functional Collaboration</b></p><ul><li>
Introduce modern data engineering and architecture practices, including lakehouse patterns, automation, and real-time analytics</li><li>
Collaborate with product, architecture, data science, and platform teams to align roadmaps and priorities</li><li>
Communicate progress, risks, architectural trade-offs, and technical decisions clearly to stakeholders and senior leaders.</li></ul><p></p><p><b>
About the Team
</b></p><p>You will join the Life Sciences &amp; Healthcare Commercial Technology Product Engineering organization, focused on delivering data- and AI-powered product capabilities. The team is globally distributed across India and the U.S., working in a hybrid model.</p><p></p><p><b>
Hours of work</b></p><ul><li>
Full-time</li><li>
Hybrid working model</li><li>
Bengaluru</li></ul><p>
At Clarivate, we are committed to providing equal employment opportunities for all qualified persons with respect to hiring, compensation, promotion, training, and other terms, conditions, and privileges of employment. We comply with applicable laws and regulations governing non-discrimination in all locations.</p></div>

Manager, Data Engineering

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