Azure DataOps Lead Job at Rackspace (Gurgaon)

Azure DataOps Lead

The Azure DataOps Lead will be responsible for leading the operational delivery,...

Location

India

Salary:

Not provided

Rackspace

Expiration Date

Until further notice

Requirements

8–12 years of total IT experience with at least 3–5 years in Azure DataOps or Data Engineering leadership
Hands-on expertise with key Azure Data Services, including: Azure Data Factory (ADF)
Azure Synapse Analytics
Azure Databricks
Azure SQL Database / SQL Managed Instance
Azure Data Lake Storage Gen2 (ADLS)
Strong understanding of DataOps concepts
Experience in monitoring and alerting using Log Analytics, Application Insights, and Azure Monitor
Working knowledge of incident management, RCA documentation, and operational reporting
Strong analytical skills for troubleshooting performance issues and identifying optimization opportunities

Job Responsibility

Lead and manage the Azure DataOps function, ensuring smooth daily operations, incident resolution, and performance stability across production data platforms
Oversee data pipeline orchestration and automation using Azure Data Factory (ADF), Synapse Analytics, Databricks, and Logic Apps
Implement CI/CD pipelines for data workflows using Azure DevOps or equivalent automation tools
Drive incident, problem, change, and request management processes aligned with ITIL best practices
Coordinate with L1/L2 support teams for escalations, RCA preparation, and client communication
Maintain governance for data quality, access control, and compliance using Azure Purview, Key Vault, and RBAC
Collaborate with Data Architects and Cloud Engineers to design scalable, resilient, and cost-efficient Azure data solutions
Ensure 24/7 operational readiness through proactive alert monitoring, performance tuning, and preventive maintenance
Contribute to automation initiatives using PowerShell, Python, or ARM templates to reduce manual efforts and improve system reliability
Partner with customer stakeholders to report on SLAs, KPIs, RCA summaries, and provide technical recommendations for improvement

Lead Data Engineer

As a Lead Data Engineer or architect at Made Tech, you'll play a pivotal role in...

Location

United Kingdom , Any UK Office Hub (Bristol / London / Manchester / Swansea)

Salary:

80000.00 - 96000.00 GBP / Year

Made Tech

Expiration Date

Until further notice

Requirements

Proficiency in Git (inc. Github Actions) and able to explain the benefits of different branch strategies
Strong experience in IaC and able to guide how one could deploy infrastructure into different environments
Knowledge of handling and transforming various data types (JSON, CSV, etc) with Apache Spark, Databricks or Hadoop
Good understanding of possible architectures involved in modern data system design (Data Warehouse, Data Lakes, Data Meshes)
Ability to create data pipelines on a cloud environment and integrate error handling within these pipelines
You understand how to create reusable libraries to encourage uniformity or approach across multiple data pipelines
Able to document and present end-to-end diagrams to explain a data processing system on a cloud environment
Some knowledge of how you would present diagrams (C4, UML, etc.)
Enthusiasm for learning and self-development
You have experience of working on agile delivery-lead projects and can apply agile practices such as Scrum, XP, Kanban

Job Responsibility

Define, shape and perfect data strategies in central and local government
Help public sector teams understand the value of their data, and make the most of it
Establish yourself as a trusted advisor in data driven approaches using public cloud services like AWS, Azure and GCP
Contribute to our recruitment efforts and take on line management responsibilities
Help implement efficient data pipelines & storage

What we offer

30 days of paid annual leave
Flexible parental leave options
Part time remote working for all our staff
Paid counselling as well as financial and legal advice
7% employer matched pension
Flexible benefit platform which includes a Smart Tech scheme, Cycle to work scheme, and an individual benefits allowance which you can invest in a Health care cash plan or Pension plan
Optional social and wellbeing calendar of events

Fulltime

AI Solutions Architect

We are seeking an experienced AI Solutions Architect to join our data team and d...

Location

United States , San Diego

Salary:

160000.00 - 180000.00 USD / Year

Clearway Energy

Expiration Date

Until further notice

Requirements

Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or related field
5+ years of experience in AI/ML solution architecture and implementation
Proven track record of taking AI projects from proof-of-concept to production
Strong experience with Snowflake Cortex AI or similar systems for enterprise AI workflows
Hands-on experience with AI agentic frameworks (LangChain, LangGraph, Semantic Kernel, CrewAI, or AutoGen) for building autonomous AI workflows
Proficiency in integrating LLM APIs and SDKs (OpenAI, Anthropic, Azure OpenAI, Hugging Face) into production applications
Experience designing and implementing RAG systems, including vector databases (Pinecone, Weaviate, Chroma, pgvector, or similar), embedding models, and retrieval optimization
Experience building interactive applications with Gradio and Streamlit
Advanced GitHub/GitLab workflows including CI/CD, branching strategies, and code review processes
Expertise in Python, SQL, and modern ML frameworks (PyTorch, TensorFlow, scikit-learn)

Job Responsibility

Design and architect end-to-end AI solutions using Snowflake Cortex AI, Modal, and cloud-native technologies
Develop rapid proof-of-concepts for Retrieval augmented generation (RAG) applications, operational optimization, process optimization, energy forecasting, predictive maintenance, and computer vision (drone footage) use cases
Design and implement AI agentic workflows using frameworks such as LangChain, LangGraph, CrewAI, or similar orchestration tools
Create interactive demos and prototypes using Gradio and Streamlit for stakeholder validation
Translate business requirements into technical specifications and system architectures
Build and deploy scalable AI/ML models for business process optimization, renewable energy applications, including wind/solar forecasting, and asset performance optimization
Integrate AI capabilities via APIs and SDKs from providers including OpenAI, Anthropic, Azure OpenAI, and Hugging Face
Implement MLOps pipelines using Dagster, Snowflake, Sentry, and Modal for model training, deployment, and monitoring
Design and optimize RAG architectures, including vector database implementation, embedding strategies, and retrieval pipelines
Ensure robust version control and collaboration practices using GitLab

What we offer

generous PTO
medical, dental & vision care
HSAs with company contributions
health FSAs
dependent daycare FSAs
commuter benefits
relocation
401(k) plan with employer match
a variety of life & accident insurances
fertility programs

Fulltime

AI Solutions Architect

We are seeking an experienced AI Solutions Architect to join our data team and d...

Location

United States , Scottsdale

Salary:

160000.00 - 180000.00 USD / Year

Clearway Energy

Expiration Date

Until further notice

Requirements

Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or related field
5+ years of experience in AI/ML solution architecture and implementation
Proven track record of taking AI projects from proof-of-concept to production
Strong experience with Snowflake Cortex AI or similar systems for enterprise AI workflows
Hands-on experience with AI agentic frameworks (LangChain, LangGraph, Semantic Kernel, CrewAI, or AutoGen) for building autonomous AI workflows
Proficiency in integrating LLM APIs and SDKs (OpenAI, Anthropic, Azure OpenAI, Hugging Face) into production applications
Experience designing and implementing RAG systems, including vector databases (Pinecone, Weaviate, Chroma, pgvector, or similar), embedding models, and retrieval optimization
Experience building interactive applications with Gradio and Streamlit
Advanced GitHub/GitLab workflows including CI/CD, branching strategies, and code review processes
Expertise in Python, SQL, and modern ML frameworks (PyTorch, TensorFlow, scikit-learn)

Job Responsibility

Design and architect end-to-end AI solutions using Snowflake Cortex AI, Modal, and cloud-native technologies
Develop rapid proof-of-concepts for Retrieval augmented generation (RAG) applications, operational optimization, process optimization, energy forecasting, predictive maintenance, and computer vision (drone footage) use cases
Design and implement AI agentic workflows using frameworks such as LangChain, LangGraph, CrewAI, or similar orchestration tools
Create interactive demos and prototypes using Gradio and Streamlit for stakeholder validation
Translate business requirements into technical specifications and system architectures
Build and deploy scalable AI/ML models for business process optimization, renewable energy applications, including wind/solar forecasting, and asset performance optimization
Integrate AI capabilities via APIs and SDKs from providers including OpenAI, Anthropic, Azure OpenAI, and Hugging Face
Implement MLOps pipelines using Dagster, Snowflake, Sentry, and Modal for model training, deployment, and monitoring
Design and optimize RAG architectures, including vector database implementation, embedding strategies, and retrieval pipelines
Ensure robust version control and collaboration practices using GitLab

What we offer

generous PTO
medical, dental & vision care
HSAs with company contributions
health FSAs
dependent daycare FSAs
commuter benefits
relocation
401(k) plan with employer match
a variety of life & accident insurances
fertility programs

Fulltime

Data Engineering Architect

Location

Salary:

Not provided

Lingaro

Expiration Date

Until further notice

Requirements

11+ years of professional experience in the Data & Analytics area
5+ years of experience in the Senior Consultant role with a strong focus on Azure data solutions
Advanced knowledge and understanding of architecture, application design, systems engineering, and integration
Very good knowledge of cloud data services, data warehousing, big data technologies, and data lakes
Expertise in data modeling, data integration, and ETL processes
Proven experience in using of Microsoft ETL tools (Azure Databricks, Azure Data Factory, Data Lake and SSIS)
Programming skills for data analysis (especially PySpark, SparkSQL, Python, SQL)
Familiarity with data governance, data security, and compliance standards
Familiarity with agile methodologies and the ability to apply DevOps and DataOps principles to data pipelines
Ability to use ARM templates

Job Responsibility

Acting as a Senior Consultant/Solution Advisor
Technology partner: Advise on designing data architectures in Microsoft Azure
Empowering customer to spot and leverage business opportunities by unlocking the power of data
Providing technical and problem-solving expertise for client representatives and Lingaro project teams
Data Integration: Lead data integration efforts, including ETL processes, to ensure seamless data flow
Cloud Services Utilization: Leverage Azure, as well as tools like dbt and Databricks, for efficient data pipelines and analytics solutions
Advise on security measures and compliance standards in cloud environments
Continuously monitor and optimize data solutions for cost-efficiency
Data Governance: Advise data governance and quality standards
Collaboration: Work with cross-functional teams to understand requirements and provide data solutions

What we offer

Stable employment
“Office as an option” model
Flexibility regarding working hours and your preferred form of contract
Comprehensive online onboarding program with a “Buddy” from day 1
Cooperation with top-tier engineers and experts
Unlimited access to the Udemy learning platform from day 1
Certificate training programs
Upskilling support
Internal Gallup Certified Strengths Coach to support your growth
Grow as we grow as a company

Senior Director of Data Engineering and Machine Learning

Lead the Data Revolution at Modus Create. At Modus Create, we empower the world’...

Location

United States of America

Salary:

200000.00 - 240000.00 USD / Year

Modus Create

Expiration Date

Until further notice

Requirements

15+ years in data or software engineering roles
7+ years leading Data Engineering/ML teams—ideally at scale or in global consulting contexts
Hands-on experience with cloud data platforms, big data toolchains (Spark, Kafka), data transformation tools (Airflow, dbt), and ML platforms
Success in pre-sales, solutioning, and growing data/ML engagements within enterprise or mid-market accounts
Demonstrated ability to create enablement programs, uplift team capabilities, and grow inclusive, high-performing engineering cultures
Deep empathy for client pain points and the ability to craft and deliver impactful, measurable solutions
Excellent across technical, executive, and cross-functional settings, with an ability to successfully navigate diverse cultural differences

Job Responsibility

Build Modern Data Platforms: Design and oversee architecture for cloud-native data platforms, pipelines, and streaming systems on AWS, Azure, or GCP
Ensure robust solutions using platforms such as Databricks, Snowflake, Redshift, BigQuery, Spark, Kafka, Airflow, dbt, and Kubernetes
Deliver Products that are Intelligent: Define and drive responsible ML strategy, from model development to integration, using platforms like SageMaker, Azure ML, or TensorFlow
Enable smarter client experiences by embedding ML into applications, automation, and analytics
Lead & Grow Teams: Foster a culture of trust, continuous learning, and experimentation by hiring, mentoring, and empowering distributed teams of data and ML engineers
Define career paths, feedback frameworks, and learning programs grounded in a culture of experimentation,continuous growth, and a sense of belonging at every level
Shape Technical Strategy & Best Practices: Develop modular runbooks, tooling standards, and engineering frameworks optimizing for scalability, observability, and security
Champion collaborative practices like Agile/Lean development, dataOps, MLOps, and CI/CD for data pipelines and models
Business Development & Sales Enablement: Partner with Sales, Partnerships, and Account Teams to find and co-create thoughtful, outcome-driven data & ML engagements
Translate client needs into solution designs, shareable collateral, and winning proposals and estimates that reflect both technical strength and business empathy

What we offer

Remote work with flexible working hours
Flexible Time Off/PTO
Premium Health Insurance (medical, vision, and dental)
Other benefits such as FSA and HSA
401 (k)
Modus Global Office Programme: for when you want to get out of your home, we offer on-demand access to private offices, meeting rooms, coworking spaces and business lounges in locations in over 120 countries
Employee Referral Program
Travel according to client or team needs
The chance to work side-by-side with thought leaders in emerging tech
Access to more than 12,000 courses with a licensed Coursera account

Fulltime

Senior Consultant A2 - Data & AI

Microsoft Industry Solutions - Global Center for Innovation and Delivery Center ...

Location

India , Hyderabad

Salary:

Not provided

Microsoft Corporation

Expiration Date

Until further notice

Requirements

10+ years of experience
Bachelor's degree in computer science engineering or equivalent work experience
Customer facing Project delivery leadership experience involving solution design, project envisioning, planning, development and deployment of complex solutions with minimum of 5 plus years
One or more of the following certifications, or other industry equivalent ones, is a plus: Microsoft Certified: Fabric Analytics Engineer Associate (DP600)
Microsoft Certified: Azure AI Engineer Associate (AI102)
Microsoft Certified: Azure Solution Architect Expert (AZ-305)
Areas of Expertise: Data Architecture & Platform Engineering
AI-First Delivery
Engineering Excellence & DataOps
AI / ML & Intelligent Systems

Job Responsibility

Lead technical delivery of complex, cloud native and AI enabled engagements
Define and drive the technology strategy for large and complex customer engagements
Design, develop, and deploy solutions on Microsoft Azure
Identifies the best practice approach for a project
Identifies dependencies and risks that go beyond the immediate scope and timeframe for a complex project
Collaborates, as appropriate, with peers and cross-functional teams to scale the business
Drives AI-First data engineering principles and mindset in the team
Continuously upskill self to become strong Full stack data engineer
Drives new ways of thinking, across the division and subsidiary
Implement rapid prototyping and able to lead from brainstorming and whiteboarding ideas to production-ready solutions

Fulltime

Lead Data Engineer

As a Lead Data Engineer at Rearc, you'll play a pivotal role in establishing and...

Location

United States

Salary:

Not provided

Rearc

Expiration Date

Until further notice

Requirements

10+ years of experience in data engineering, data architecture, or related technical fields
Proven ability to design, build, and optimize large-scale data ecosystems
Strong track record of leading complex data engineering initiatives
Deep hands-on expertise in ETL/ELT design, data warehousing, and data modeling
Extensive experience with data integration frameworks and best practices
Advanced knowledge of cloud-based data services and architectures (AWS Redshift, Azure Synapse Analytics, Google BigQuery, or equivalent)
Strong strategic and analytical thinking
Proficiency with modern data engineering frameworks (Databricks, Spark, lakehouse technologies like Delta Lake)
Exceptional communication and interpersonal skills

Job Responsibility

Engage deeply with stakeholders to understand data needs, business challenges, and technical constraints
Translate stakeholder needs into scalable, high-quality data solutions
Implement with a DataOps mindset using tools like Apache Airflow, Databricks/Spark, Kafka
Build reliable, automated, and efficient data pipelines and architectures
Lead and execute complex projects
Provide technical direction and set engineering standards
Ensure alignment with customer goals and company principles
Mentor and develop data engineers
Promote knowledge sharing and thought leadership
Contribute to internal and external content

What we offer

Comprehensive health benefits
Generous time away and flexible PTO
Maternity and paternity leave
Access to educational resources with reimbursement for continued learning
401(k) plan with company contribution

Azure DataOps Lead

Rackspace

Location:
India , Gurgaon

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
January 11, 2026

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Job Posted:
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