Azure DataOps Lead Job at Rackspace

Azure DataOps Lead

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

Location

India , Gurgaon

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
Excellent communication and stakeholder management skills across global teams

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

Fulltime

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

New

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

Senior Sales Engineer

The Senior Sales Engineer role at Infinite Lambda is designed for a technical le...

Location

United States

Salary:

Not provided

Infinite Lambda

Expiration Date

Until further notice

Requirements

A Bachelor’s degree in Engineering, Computer Science, or a related field is required
an advanced degree is preferred
A proven track record in sales engineering or technical sales, preferably within the data, cloud, or technology sectors, with significant leadership experience
experience in data engineering, analytics engineering and data scientist roles and related technologies, such as AWS, Azure, Snowflake, Redshift, Databricks, dbt and machine learning frameworks is essential
Stream processing and batch data warehouse processing, event-driven architecture, microservices, DataOps and MLOps practices
Experience in international markets or expanding into new regions is a plus, particularly knowledge of South American markets and business practices, which is desirable for this role
Exceptional verbal and written communication skills, with the ability to translate complex technical concepts into business benefits for clients and stakeholders
Experience in leading sales engineering teams or functions, with a strategic mindset to influence company direction and market expansion
Strong ability to work effectively across different departments and levels, fostering collaboration with Product & Services, Customer Success, and Sales & Partnerships.

Job Responsibility

Initiate and manage engagements with prospective clients from the early stages of the sales process, ensuring a strong start to the sales cycle
Understand and document client needs, articulating how Infinite Lambda’s products and services can address these needs effectively
Collaborate with the sales team to drive a collaborative approach, creating compelling proposals that align with client expectations
Conduct and facilitate technical deep-dive workshops with prospective clients to showcase capabilities and gather insights, using workshop outputs to strengthen proposals
Identify relevant Infinite Lambda products and services, working with the sales team to position them strategically for each opportunity
Assist both the sales and delivery teams in estimating project scope, effort, and resources, producing realistic and commercially viable account strategies. This includes defining initial team composition, tools to utilise, and a high-level roadmap
Work with departments such as Product & Services, Customer Success, and Sales & Partnerships to clearly define roles and responsibilities, ensuring seamless collaboration across functions
Collaborate with Product & Services to stay informed about existing offerings and influence product roadmaps, helping design new products and services based on client feedback and market trends
Enhance the positioning of Infinite Lambda’s products and services during the sales process and beyond, improving how value is communicated to clients
Liaise with senior leadership (CEO, CTO, CPO, COO, CSO) at Infinite Lambda to formulate a clear strategy for combining data and cloud expertise into a holistic value proposition, strengthening the company’s market positioning

What we offer

private health insurance
work-from-home budget
unlimited paid holiday
wellness benefits
dedicated learning and development time
access to top-notch learning portals
coaching opportunities

Senior Sales Engineer

The Senior Sales Engineer role at Infinite Lambda is designed for a technical le...

Location

Salary:

Not provided

Infinite Lambda

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Engineering, Computer Science, or a related field is required
an advanced degree is preferred
A proven track record in sales engineering or technical sales, preferably within the data, cloud, or technology sectors, with significant leadership experience
experience in data engineering, analytics engineering and data scientist roles and related technologies, such as AWS, Azure, Snowflake, Redshift, Databricks, dbt and machine learning frameworks is essential
Stream processing and batch data warehouse processing, event-driven architecture, micro-services, DataOps and MLOps practices
Experience in international markets or expanding into new regions is a plus, particularly knowledge of South American markets and business practices, which is desirable for this role
Exceptional verbal and written communication skills, with the ability to translate complex technical concepts into business benefits for clients and stakeholders
Experience in leading sales engineering teams or functions, with a strategic mindset to influence company direction and market expansion
Strong ability to work effectively across different departments and levels, fostering collaboration with Product & Services, Customer Success, and Sales & Partnerships.

Job Responsibility

Initiate and manage engagements with prospective clients from the early stages of the sales process, ensuring a strong start to the sales cycle
Understand and document client needs, articulating how Infinite Lambda’s products and services can address these needs effectively
Collaborate with the sales team to drive a collaborative approach, creating compelling proposals that align with client expectations
Conduct and facilitate technical deep-dive workshops with prospective clients to showcase capabilities and gather insights, using workshop outputs to strengthen proposals
Identify relevant Infinite Lambda products and services, working with the sales team to position them strategically for each opportunity
Assist both the sales and delivery teams in estimating project scope, effort, and resources, producing realistic and commercially viable account strategies. This includes defining initial team composition, tools to utilise, and a high-level roadmap
Work with departments such as Product & Services, Customer Success, and Sales & Partnerships to clearly define roles and responsibilities, ensuring seamless collaboration across functions
Collaborate with Product & Services to stay informed about existing offerings and influence product roadmaps, helping design new products and services based on client feedback and market trends
Enhance the positioning of Infinite Lambda’s products and services during the sales process and beyond, improving how value is communicated to clients
Liaise with senior leadership (CEO, CTO, CPO, COO, CSO) at Infinite Lambda to formulate a clear strategy for combining data and cloud expertise into a holistic value proposition, strengthening the company’s market positioning

What we offer

private health insurance
work-from-home budget
unlimited paid holiday
wellness benefits
dedicated learning and development time
access to top-notch learning portals
coaching opportunities.

Azure DataOps Lead

Rackspace

Location:
India

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
January 05, 2026

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