data platform lead

Codvo.ai

<div><div><div><div><b>Job Description: Snowflake Data Platform Lead</b></div><div></div><div><b><br>
Position Overview</b></div><div>
Lead the design, implementation, and optimization of enterprise Snowflake data platform solutions, driving cloud-native data architecture initiatives and establishing scalable analytics capabilities.</div><div><b>
Key Responsibilities</b></div><div><b>
Platform Architecture &amp; Strategy:</b></div><ul><li>Design and implement enterprise-scale Snowflake data platform architectures</li><li>Establish modern data lakehouse patterns using Snowflake's cloud data platform capabilities</li><li>Define data governance, security, and access control frameworks</li><li>Lead platform assessments, optimization initiatives, and strategic planning</li></ul><div><b>
Technical Implementation:</b></div><ul><li>Architect robust data ingestion pipelines using Snowpipe, external stages, and partner integrations</li><li>Design efficient ELT processes using Snowflake SQL, Snowpark, and Python/Scala</li><li>Implement data sharing capabilities, marketplace integrations, and cross-cloud connectivity</li><li>Establish monitoring, alerting, and cost management best practices</li></ul><div><b>
Integration &amp; Analytics:</b></div><ul><li>Design integrations with BI tools, data visualization platforms, and analytics applications</li><li>Enable advanced analytics and machine learning workflows using Snowpark ML</li><li>Implement real-time and batch data processing patterns</li><li>Lead data platform migrations and modernization projects</li></ul><div><b>
Required Qualifications</b></div><div><b>
Technical Expertise:</b></div><ul><li>7+ years enterprise data platform experience with focus on cloud-native architectures</li><li>4+ years hands-on Snowflake experience (development, administration, optimization)</li><li>Expert-level SQL and experience with Snowpark (Python/Scala)</li><li>Strong understanding of cloud data architecture, security, and governance</li><li>Experience with data integration tools and modern data stack components</li></ul><div><b>
Platform Experience:</b></div><ul><li>Multi-source data integration including databases, APIs, files, and streaming data</li><li>Performance optimization, cost management, and warehouse scaling strategies</li><li>Data governance, compliance, and security framework implementation</li><li>Enterprise-scale data migration and platform consolidation projects</li></ul><div><b>
Leadership &amp; Communication:</b></div><ul><li>Proven track record leading technical teams and complex data initiatives</li><li>Experience with stakeholder management and cross-functional collaboration</li><li>Strong analytical and problem-solving capabilities</li><li>Documentation and knowledge transfer expertise</li></ul><div><b>
Preferred Qualifications</b></div><ul><li>Snowflake certifications (SnowPro Core, Advanced Architect, Data Engineer)</li><li>Multi-cloud platform experience (AWS, Azure, GCP)</li><li>dbt (data build tool) and modern data transformation frameworks</li><li>Machine learning and MLOps experience in cloud environments</li><li>Industry-specific data platform experience and domain expertise</li></ul><p></p><p><b><br>
About Us</b></p><p>
At Codvo, we are committed to building scalable, future-ready data platforms that power business impact. We believe in a culture of innovation, collaboration, and growth, where engineers can experiment, learn, and thrive. Join us to be part of a team that solves complex data challenges with creativity and cutting-edge technology.</p></div></div></div><p></p>

Snowflake Data Platform Lead(India)

<div><div><div><p><b>Job Description: Azure Data Platform Lead</b></p><div></div><p><b><br>
Position Overview</b></p><p>
Lead the design, implementation, and optimization of enterprise-scale Azure data platform solutions, driving modern data architecture initiatives and establishing best practices for data engineering and analytics.</p><div></div><p><b><br>
Key Responsibilities</b></p><p>
Platform Architecture &amp; Strategy:</p><ul><li>Design and implement scalable data platform architectures using Azure services (Synapse, Data Factory, Fabric, SQL Database)</li><li>Establish data lakehouse and data warehouse solutions with medallion architecture patterns</li><li>Define data governance frameworks, security protocols, and compliance standards</li><li>Lead platform evaluations, vendor selections, and technology roadmap planning</li></ul><p>
Technical Implementation:</p><ul><li>Architect data ingestion pipelines from diverse sources including databases, APIs, files, and streaming systems</li><li>Design and optimize ETL/ELT processes using SQL, Python, Spark, and Azure native services</li><li>Implement data quality frameworks, monitoring, and alerting systems</li><li>Establish CI/CD pipelines for data workflows and infrastructure as code</li></ul><p>
Integration &amp; Optimization:</p><ul><li>Design seamless integrations with BI tools, analytics platforms, and downstream systems</li><li>Optimize performance, cost, and scalability through automated resource management</li><li>Enable advanced analytics and machine learning capabilities on the platform</li><li>Lead data migration projects and platform modernization initiatives</li></ul><div></div><p><b><br>
Required Qualifications</b></p><p>
Technical Expertise:</p><ul><li>7+ years Azure data platform experience (Data Factory, Synapse Analytics, SQL Database, Storage)</li><li>Expert-level SQL, Python, and experience with Apache Spark (PySpark/Scala)</li><li>Strong understanding of data architecture patterns, data modeling, and distributed systems</li><li>Experience with Azure DevOps, ARM templates, and infrastructure automation</li><li>Knowledge of data governance tools and frameworks (Microsoft Purview preferred)</li></ul><p>
Platform Experience:</p><ul><li>Hands-on experience with modern data stack components and cloud-native architectures</li><li>RESTful API integration, real-time streaming, and batch processing systems</li><li>Enterprise data warehouse and analytics platform implementation</li><li>Performance tuning, cost optimization, and capacity planning experience</li></ul><div></div><p><b><br>
Leadership &amp; Communication:</b></p><ul><li>Proven ability to lead technical teams and mentor junior engineers</li><li>Experience presenting technical solutions to stakeholders at all levels</li><li>Strong documentation and knowledge transfer capabilities</li><li>Project management experience with data platform initiatives</li></ul><div></div><p><b><br>
Preferred Qualifications</b></p><ul><li>Microsoft Azure certifications (Data Engineer Associate, Solutions Architect Expert)</li><li>Experience with Microsoft Fabric and Power Platform integration</li><li>Machine learning and AI model deployment experience</li><li>Multi-cloud platform knowledge and cloud migration experience</li><li>Industry-specific data architecture experience (retail, financial services, healthcare)</li></ul><p></p><p><b><br>
About Us</b></p><p>
At Codvo, we are committed to building scalable, future-ready data platforms that power business impact. We believe in a culture of innovation, collaboration, and growth, where engineers can experiment, learn, and thrive. Join us to be part of a team that solves complex data challenges with creativity and cutting-edge technology.</p></div></div></div><p></p>

Azure Data Platform Lead(India)

Boston Consulting Group

<div><p>Who We Are</p><p>
Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact.<br>
<br>
To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures&mdash;and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive.</p><p><br>
What You'll Do</p><p>
Be part of a Data Platform Engineering team that is building a unified data platform architecture to unlock the company&rsquo;s internal Data and AI needs as <b>Senior Manager &ndash; Data Warehouse Platforms (Data Platforms Engineer)</b> you will be an integral Individual contributor of an Agile platform team responsible for designing, delivering and running the enterprise data platforms (Snowflake &amp; Google BigQuery) and the supporting ingestion, transformation, orchestration and governance stack. You will partner with Product Owners, Enterprise &amp; Solution Architects, Infrastructure, Security, Analytics and Engineering teams to ensure the platform is secure, cost-efficient, highly available and governed. You have managed SaaS Enterprise Platforms and are adept at configuring access, identity and authentication methods.</p><p></p><p><br>
You can support implementation of ingestion tooling (Fivetran, AWS Glue, custom connectors), the transformation layer (dbt), orchestration (Airflow), data-quality/catalog/lineage (Informatica IDMC/Catalog/DQ), and data observability (Monte Carlo). Day-to-day, you will own release automation, CI/CD, runbooks, RBAC and masking, SSO/Okta integration, secrets management, FinOps practices, performance tuning, optimization and incident response. You will also manage vendor relationships (Fivetran, Informatica, Monte Carlo etc.) to explore latest developments and contribute to roadmap discussions. Increasing platform maturity and reliability gets you excited and you can lead discussions and mentor engineers to adopt similar best practices</p><p></p><p><br>
You are a fair hand at developing &amp; supporting custom applications (Streamlit, Django/Python). You use AI to improve your own work and love building and supporting AI solutions to help your customers.</p><p><br>
What You'll Bring</p><ul><li><b>
8+ years</b> in platform engineering / data platform roles, with <b>3+ years</b> in a senior/lead (Manager / Senior Manager) capacity.</li><li>
Hands-on delivery of enterprise-scale data platforms (Snowflake and/or Google BigQuery) supporting analytics/ML at multi-TB scale.</li><li>
Proven expertise with ingestion and integration tools: <b>Fivetran, AWS Glue</b> or equivalent, and experience building secure custom connectors.</li><li>
Deep practical experience in <b>dbt</b> (models, testing, CI/CD), Airflow (DAG design, scheduling, SLAs) and SQL/Python development.</li><li>
Operational experience with <b>Informatica IDMC / Catalog / Data Quality</b> (or equivalent) for metadata, lineage and enterprise data quality.</li><li>
Experience deploying/operating data observability tooling (e.g., <b>Monte Carlo</b>) and implementing runbook-driven incident management.</li><li>
Strong cloud &amp; infra skills: <b>Terraform</b>, IAM, networking, logging/monitoring and FinOps for data workloads.</li><li>
Demonstrated capability in security &amp; governance: RBAC, masking/tokenization, SSO (Okta), secrets management and audit logging.</li><li>
Track record of platform ownership: performance tuning, capacity planning, upgrades/migrations and vendor management.</li><li>
Excellent stakeholder management and communication skills; experience translating business needs into platform KPIs.</li><li>
Bachelor&rsquo;s degree in computer science, Engineering or related field (master&rsquo;s preferred). Relevant certifications (SnowPro, GCP Data Engineer, AWS Professional) are a plus.</li><li>
Comfortable mentoring engineers, leading cross-functional teams and driving platform strategy and delivery.</li></ul><p><br>
Who You'll Work With</p><p>
As part of the Data Platform Engineering Portfolio, you&rsquo;ll join a team that values curiosity, ownership and pragmatic engineering &mdash; there&rsquo;s no single mould here.</p><p></p><p><br>
You&rsquo;ll partner closely with Product Owners, Enterprise &amp; Solution Architects, Security, Analytics and IT to deliver platform outcomes at scale. You will work day-to-day with the cross-functional Product Engineering team and the Chapter Lead to shape platform strategy, mentor engineers and drive delivery. Our stakeholders are global, highly analytical and decision-focused, giving you exposure to complex business problems and the chance to influence how data is used across the firm.</p><p><br>
Additional info</p><p><b>
YOU&rsquo;RE GOOD AT</b></p><br>
<p></p><ul><li>
Architecting modern data platforms: Lead design, build and run of enterprise Data Warehouse platforms (Snowflake &amp; Google BigQuery) and modern ELT tooling to enable Analytics and AI use cases</li><li>
Enabling AI through data excellence &mdash; You understand what high-quality, well-governed data means for AI. You build the framework and tooling for data pipelines, feature stores, and data products that power model training, inference, and continuous learning.</li><li>
Being a guide for Ingestion tooling implementations: Help guide customers towards right platform-based solutions and partner with them in building appropriate connectors for batch &amp; streaming.</li><li>
Owning the transformation layer with <b>dbt</b>, modeling standards, testing, CI/CD and deployment governance. Build and maintain orchestration (Apache <b>Airflow</b>): scalable DAGs, scheduling, SLAs and alerting.</li><li>
Supporting Data Governance Initiatives with Platforms and Solutions: Implement enterprise data quality, cataloguing and lineage using <b>Informatica IDMC / Catalog / Data Quality</b> Deploying and operate data observability (e.g., <b>Monte Carlo</b>) and embed alerting/SLA workflows and runbooks.</li><li><b>
Solving complex engineering challenges</b> &mdash; You bring structure and innovation to ambiguous technical problems, leveraging automation, CI/CD, and infrastructure-as-code to drive reliability and velocity. Drive automation for release management, version control, infrastructure provisioning (Terraform), and environment promotion.</li><li>
Defining and enforcing platform standards: schema design, partitioning/clustering, performance tuning and cost controls (FinOps).</li><li><b>
Governance and FinOps mindset</b> &mdash; You understand how to balance control, cost, and agility &mdash; driving data security, compliance, and platform efficiency through metrics and continuous improvement. Implement security and governance: RBAC, data masking/tokenization, audit logging, SSO (Okta), and secrets management.</li><li><b>
Hands-on technical delivery</b> &mdash; You&rsquo;re comfortable getting into code and configurations (Django, Python, dbt, Terraform, Airflow, etc.) while mentoring engineers to build sustainable, production-grade solutions.</li><li>
Lead incident management, capacity planning, performance tuning and platform upgrades/migrations.</li><li>
Manage vendor relationships, licensing, and procurement for core platform technologies.</li><li><b>
Drafting Architecture diagrams to support data problems after understanding the use case and the technical ecosystem</b></li><li><b>
Staying ahead of the curve</b> &mdash; You are curious about emerging technologies (AI, Knowledge Graphs, MLOps, observability, and data contracts) and know when to pragmatically adopt them.</li><li><b>
Communicating for impact</b> &mdash; You can explain architecture trade-offs clearly to executives, engineers, and analysts &mdash; inspiring trust and alignment through clarity and empathy.</li><li>
Coaching and mentoring engineers; translate business needs into measurable platform deliverables and KPIs.</li></ul><p><br>
Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws.
<br>
BCG is an E - Verify Employer. Click here for more information on E-Verify.</p></div>

Global IT Data Engineer Senior Manager – Data Warehouse Platforms

<div><div><div><div><b>Job Title: Data &amp; Databricks Practice Lead</b></div><div><b>
Location: Remote</b></div><div></div><p><b><br>
About Us</b></p><p>
At Codvo, we are committed to building scalable, future-ready data platforms that power business impact. We believe in a culture of innovation, collaboration, and growth, where engineers can experiment, learn, and thrive. Join us to be part of a team that solves complex data challenges with creativity and cutting-edge technology.</p><div></div><div><b><br>
Role Summary</b></div><div>
We are looking for a dynamic and visionary Practice Lead to build and scale our Data &amp; AI capabilities with a strong focus on Databricks, Apache Spark, Iceberg, Azure Data Fabric, Amazon EMR, and Redshift. This role is pivotal in driving Lakehouse architecture adoption, cloud-native modernization, and ML engineering across industries such as Oil &amp; Gas, Medtech, Retail CPG, and Fintech.</div><div>
You will lead a cross-functional team of architects, engineers, and ML specialists to deliver high-impact solutions that combine technical excellence, cost efficiency, and governance maturity.</div><div><b>
Key Responsibilities</b></div><div>
Strategic Leadership &amp; Practice Growth</div><ul><li>Define and execute the strategic roadmap for the Data &amp; AI practice, aligning with evolving trends in Lakehouse, cloud-native platforms, and AI engineering.</li><li>Build reusable solution accelerators (e.g., Iceberg ingestion templates, Spark ETL frameworks, MLflow pipelines).</li><li>Establish and manage strategic partnerships with Databricks, AWS, Azure, and other ecosystem players.</li><li>Represent the practice in industry forums, client workshops, and thought leadership initiatives.</li></ul><div>
Technical Architecture &amp; Delivery Oversight</div><ul><li>Architect scalable Lakehouse solutions using Delta Lake or Iceberg, optimized for performance and cost.</li><li>Lead the design of unified batch + streaming pipelines using Spark Structured Streaming and Scala.</li><li>Oversee multi-cloud data platform modernization using Azure Data Fabric, EMR, and Redshift.</li><li>Guide implementation of data governance frameworks using Unity Catalog, Azure Purview, and Iceberg metadata.</li></ul><div>
Team Leadership &amp; Capability Building</div><ul><li>Mentor and grow a high-performing team of data engineers, ML engineers, and platform specialists.</li><li>Define career paths, training plans, and certification goals aligned with Databricks, AWS, and Azure.</li><li>Foster a culture of innovation, experimentation, and continuous improvement.</li></ul><div>
Client Engagement &amp; Business Impact</div><ul><li>Engage with clients to understand business challenges and translate them into scalable data solutions.</li><li>Lead solutioning, proposal development, and delivery for strategic engagements.</li><li>Ensure delivery excellence through performance optimization (Photon, EMR Autoscaling) and cost engineering.</li></ul><div><b>
Required Skills &amp; Experience</b></div><ul><li>10+ years of experience in data engineering, architecture, and platform modernization.</li><li>3+ years of hands-on experience with Databricks, Apache Spark, Iceberg, and Scala.</li><li>Deep expertise in cloud-native data platforms (Azure Data Fabric, Amazon EMR, Redshift).</li><li>Proven track record in building ML pipelines, implementing MLOps (MLflow), and integrating Redshift ML.</li><li>Strong understanding of data governance, observability, and schema evolution.</li><li>Excellent leadership, communication, and stakeholder management skills.</li></ul><div><b>
Preferred Qualifications</b></div><ul><li>Certifications in Databricks, Azure Data Engineering, or AWS Big Data.</li><li>Experience in vertical-specific data solutions (e.g., predictive maintenance in Oil &amp; Gas, real-time analytics in Retail).</li><li>Familiarity with data mesh architectures, time travel, and audit compliance frameworks.</li></ul><div><b>
Why Join Us?</b></div><ul><li>Be at the forefront of Lakehouse innovation and AI-driven transformation.</li><li>Work with cutting-edge technologies and shape the future of data platforms.</li><li>Lead a high-impact practice with global reach and industry relevance.</li></ul></div></div></div><p></p>

Data & Databricks Practice Lead (India - Remote)

<div><b>Site Name:</b> India - Karnataka - Bengaluru<br>
<b>Posted Date:</b> Nov 10 2025<p><b><br>
Role Overview:</b></p><p>
The person will be responsible for leading and managing the business analytics engineering function, ensuring data readiness and quality to support transformation and AI initiatives. This role will play a critical part in establishing robust data management practices and driving data-driven decision-making across the organization.</p><p></p><p><b>
Key Responsibilities:</b></p><ul><li><p>
Lead the analytics and data engineering functions to support business transformation and AI initiatives.</p></li><li><p>
Research and Innovation: Stay up to date with the latest AI advancements, research new technologies (e.g., generative AI, large language models), and propose innovative solutions to drive growth.</p></li><li><p>
Manage the inventory of commercial data assets to ensure data readiness, quality, and accountability in alignment with risk, compliance, and regulatory guidelines.</p></li><li><p>
Collaborate with internal stakeholders, including DevOps, DataOps, Cyber Security, Risk, and Assurance teams, as well as the Commercial Leadership Team, to ensure adherence to best practices and governance standards.</p></li><li><p>
Establish and maintain a solution-oriented, well-structured data inventory to support analytics, reporting, and business insights.</p></li><li><p>
Drive continuous improvement in data management processes, ensuring data integrity and accessibility for business users.</p></li><li><p>
Support the development of scalable data solutions that align with organizational goals and technology strategies</p></li><li><p>
Documentation: Document the design, development, and deployment processes, as well as the solution architecture.</p></li><li><p>
Collaboration: Work closely with cross-functional teams including data scientists, software engineers, product managers, and stakeholders to define project goals and ensure AI solutions align with business objectives.</p></li><li><p>
Deployment Support: Deploy AI solutions into production environments, often by creating APIs and microservices that integrate with other applications and systems</p></li></ul><p><b>
Development:</b></p><ul><li><p>
Strong working knowledge of Azure services and components, and the ability to stitch together various components towards a scalable, reliable and sustainable enterprise solution.</p></li><li><p>
Production experience delivering CI/CD pipelines across Azure and vendor products.</p></li><li><p>
Key knowledge of architectural patterns across code and infrastructure development.</p></li><li><p>
Contribute towards the design and development of the enterprise standards.</p></li><li><p>
Ensure project goals are achieved with quality and on time in alignment with the stakeholders&rsquo; expectations.</p></li><li><p>
Ability to work on complex projects and in a distributed environment.</p></li><li><p>
Work in close collaboration with other team members in the Digital Dule organization and DevOps team to ensure Development/Delivery aspects are well represented in the project&rsquo;s requirements and deliverables.</p></li></ul><p></p><p><b>
Methodology:</b></p><ul><li><p>
Incorporate agile ways of working</p></li><li><p>
Lead with modern data design and test driven development.</p></li><li><p>
Individuals will work as part of a product-centric delivery team(s) that will deliver value independently while fully embracing integrated DevOps approaches.</p></li><li><p>
Take ownership of the delivery/development projects and help steer until completion.</p></li></ul><p><b>
Governance</b></p><ul><li><p>
Maintain governance that allows projects and stakeholders to manage overall project performance and manage program risks within the global nature of some of the programs.</p></li></ul><p></p><p><b>
Forward looking:</b></p><ul><li><p>
Remain flexible towards technology approaches to ensure we are taking advantage of new technologies.</p></li><li><p>
Keep abreast of industry developments in analytics and interpret how these would impact services and present new opportunities.</p></li><li><p>
Quality, Risk &amp; Compliance:</p></li><li><p>
Ensure all risks and issues associated with owned projects are promptly recorded and managed in the appropriate Risk &amp; Issue logs.</p></li><li><p>
Ensure all Risks and Issues have clear action/mitigation/contingency plans defined, named action owners, and timelines for completion.</p></li></ul><p></p><p><b>
Technical Architecture:</b></p><ul><li><p>
Design and Development of AI Models: Design, develop, train, and test machine learning (ML) models and algorithms to solve complex business problems.</p></li><li><p>
Be conversant with technical architecture to contribute to design discussions in partnership with the Delivery/Development Lead and dedicated Analytics</p></li></ul><p></p><p><b>
Key Technical skills and experience required:</b></p><ul><li><p><b>
Overall 8 to 12 years </b>of professional experience with Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Engineering, Data Science etc.</p></li><li><p>
An ideal candidate would have an impressive hands-on work history in an advanced, recognized, and innovative environment.</p></li><li><p>
Data engineering experience and seasoned coder in the relevant languages: Python, SQL, Scala, etc.</p></li><li><p>
7-10 years in Data Platform experience- specific to owning and enabling capabilities within an enterprise data ecosystem, including Data Management practices (Analytics/Platform)</p></li><li><p>
5+ years&rsquo; experience with the<b> Azure data &amp; analytics stack: Databricks, Data Factory, </b>SQL DW, Cosmos DB, Power BI, Power Apps, AKS, etc.</p></li><li><p>
4+ years of experience in AI, ML, or data science roles</p></li><li><p>
3+ years of experience developing Insightful Reports and Dashboard using prominent BI tools like Power BI, Tableau</p></li><li><p>
Experience with delivering Transformed &amp; Curated Data to Data Science</p></li><li><p>
Fully conversant with big-data processing approaches and &ldquo;schema-on-read&rdquo; methodologies. Preference for a deep understanding of Spark, Databricks, and Delta Lake and applying them to solve data science and machine learning business problems.</p></li><li><p>
Experience with Agile delivery frameworks and tools: SAFe, Jira, Confluence, Azure DevOps, etc.</p></li><li><p>
Experience with visualization tools and their application: developing reports, dashboards, and KPI scorecards.</p></li><li><p>
Familiar deploying enterprise analytics solutions at scale with applicable services: administration, qualification and user access provisioning.</p></li><li><p>
Experience articulating the business value of analytics projects and progressing solutions from MVP to scaled-up production solutions.</p></li><li><p>
Ability to work in close partnership with groups across the IT organization (security, compliance, infrastructure, etc.) and business stakeholders in the commercial organizations.</p></li><li><p>
Ability to develop and maintain productive working relationships with suppliers and specialist technology providers to assemble and maintain a distinctive and flexible mix of capabilities against future requirements.</p></li><li><p>
The ideal candidate possesses excellent communication skills and the ability to communicate inherently complicated technical concepts to non-technical stakeholders of all levels.</p></li></ul><p></p><p><b>
Inclusion at GSK:</b></p><p>
As an employer committed to Inclusion, we encourage you to reach out if you need any adjustments during the recruitment process. Please contact our Recruitment Team at IN.recruitment-adjustments@gsk.com to discuss your needs.</p><p></p><p><b>
Why GSK?</b></p><p><b>
Uniting science, technology and talent to get ahead of disease together.</b></p><p></p><p>
GSK is a global biopharma company with a purpose to unite science, technology and talent to get ahead of disease together. We aim to positively impact the health of 2.5 billion people by the end of the decade, as a successful, growing company where people can thrive. We get ahead of disease by preventing and treating it with innovation in specialty medicines and vaccines. We focus on four therapeutic areas: respiratory, immunology and inflammation; oncology; HIV; and infectious diseases &ndash; to impact health at scale.</p><p></p><p>
People and patients around the world count on the medicines and vaccines we make, so we&rsquo;re committed to creating an environment where our people can thrive and focus on what matters most. Our culture of being ambitious for patients, accountable for impact and doing the right thing is the foundation for how, together, we deliver for patients, shareholders and our people.</p><p></p><p><b>
Inclusion at GSK:</b></p><p>
As an employer committed to Inclusion, we encourage you to reach out if you need any adjustments during the recruitment process.</p><p></p><p>
Please contact our Recruitment Team at IN.recruitment-adjustments@gsk.com to discuss your needs.</p><p></p><p><b>
Important notice to Employment businesses/ Agencies</b></p><p>
GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site.</p><p></p><p>
It has come to our attention that the names of GlaxoSmithKline or GSK or our group companies are being used in connection with bogus job advertisements or through unsolicited emails asking candidates to make some payments for recruitment opportunities and interview. Please be advised that such advertisements and emails are not connected with the GlaxoSmithKline group in any way.</p><p></p><p><b>
GlaxoSmithKline does not charge any fee whatsoever for recruitment process. Please do not make payments to any individuals / entities in connection with recruitment with any GlaxoSmithKline (or GSK) group company at any worldwide location. Even if they claim that the money is refundable.</b></p><p></p><p>
If you come across unsolicited email from email addresses not ending in gsk.com or job advertisements which state that you should contact an email address that does not end in &ldquo;gsk.com&rdquo;, you should disregard the same and inform us by emailing askus@gsk.com, so that we can confirm to you if the job is genuine.</p></div><p></p>

Manager / Senior Manager- Data Engineering

Road and Transport, RTA Dubai

<p><b>What You ll Do</b></p> <ul> <li>Lead the development of smart, interactive platforms to support business intelligence and decision-making.</li> <li>Manage RTA s corporate data repository while ensuring compliance with policies and legislation.</li> <li>Oversee the design and operation of big data platforms, enabling advanced analytics and corporate insights.</li> <li>Implement a comprehensive data governance roadmap aligned with UAE national policies.</li> <li>Drive data quality improvement initiatives across platforms with sustainable enhancement mechanisms.</li> <li>Coordinate with Dubai Digital Authority and external stakeholders to ensure compliance in data exchange.</li> <li>Provide integrated, secure access to data for enterprise analytics and AI applications.</li> <li>Supervise the design, development, and maintenance of enterprise data models and databases.</li> </ul>

Senior Team Leader Data and Platform Management

Novartis

<div><div><h3 class="jobSectionHeader"><b>Summary
</b></h3><div>Job Title: Assoc. Dir. Data Products Solution Delivery<br>
#LI-Hybrid<br>
Location: Hyderabad, India<br>
Relocation Support: Yes<br>
<br>
Join us in shaping the future of data-driven healthcare! As an Associate Director for Data Products Solution Delivery, you&rsquo;ll lead transformative initiatives that modernize our data ecosystem and accelerate innovation across Novartis. Your work will empower global teams to deliver exceptional customer experiences and help millions of patients access life-changing medicines faster. This is your opportunity to combine cutting-edge technology with purpose-driven impact in a collaborative, inclusive environment.</div>
</div><div><h3 class="jobSectionHeader"><b>About the Role
</b></h3><div><p>Key Responsibilities</p><ul><li>
Lead design, development, and deployment of data products and solutions across global teams.</li><li>
Drive adoption of emerging technologies through rapid prototyping and iterative delivery methods.</li><li>
Ensure scalability, security, and compliance of data platforms and services enterprise-wide.</li><li>
Align data innovation strategies with business objectives, IT roadmap, and regulatory requirements.</li><li>
Build and maintain partnerships to strengthen data capabilities and ecosystem integration.</li><li>
Oversee governance, timelines, and deployment strategies for data-driven initiatives.</li><li>
Foster collaboration across cross-functional teams to deliver impactful, customer-centric solutions.</li></ul><p></p><p>
Essential Requirements</p><ul><li>
Minimum 12 years of experience delivering global data solutions at scale.</li><li>
Proven leadership in matrix environments with strong collaboration across boundaries.</li><li>
Expertise in AWS, Databricks, and Snowflake service offerings.</li><li>
Hands-on experience with data lake projects, including acquisition, transformation, and publishing.</li><li>
Strong foundation in analytical data lifecycle management and governance.</li><li>
Excellent communication skills and ability to influence stakeholders effectively.</li></ul><p></p><p><i>
Commitment to Diversity and Inclusion:</i><br>
<i>Novartis is committed to building an outstanding, inclusive work environment and diverse teams' representative of the patients and communities we serve.</i><br>
<br>
<i>Accessibility and accommodation</i><br>
<i>Novartis is committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the recruitment process, or in order to perform the essential functions of a position, please send an e-mail to </i><b><i>diversityandincl.india@novartis.com</i></b><i> and let us know the nature of your request and your contact information. Please include the job requisition number in your message
</i></p></div></div><div><div><p><b>Why Novartis:</b> Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients&rsquo; lives. Ready to create a brighter future together? https://www.novartis.com/about/strategy/people-and-culture</p><p><b>
Join our Novartis Network:</b> Not the right Novartis role for you? Sign up to our talent community to stay connected and learn about suitable career opportunities as soon as they come up: https://talentnetwork.novartis.com/network</p><p><b>
Benefits and Rewards:</b> Read our handbook to learn about all the ways we&rsquo;ll help you thrive personally and professionally: https://www.novartis.com/careers/benefits-rewards</p></div></div></div>
<br><div><div>Division
<div>Operations
</div></div><div>Business Unit
<div>Information Technology
</div></div><div>Location
<div>India
</div></div><div>Site
<div>Hyderabad (Office)
</div></div><div>Company / Legal Entity
<div>IN10 (FCRS = IN010) Novartis Healthcare Private Limited
</div></div><div>Functional Area
<div>Technology Transformation
</div></div><div>Job Type
<div>Full time
</div></div><div>Employment Type
<div>Regular
</div></div><div>Shift Work
<div>No</div></div></div><div></div>

Assoc. Dir. DDIT US&I Data Products Solution Delivery

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