Azure DataOps Lead Job at Rackspace

Lead Database Engineer

We are looking for a skilled and proactive DataOps Engineer with strong Database...

Location

India , Chennai; Coimbatore; Madurai

Salary:

Not provided

OptiSol Business Solutions

Expiration Date

Until further notice

Requirements

Strong knowledge of SQL Server architecture and internals
Hands-on experience in performance tuning, query optimization, and indexing strategies
Proficiency in T-SQL scripting and database automation
Proven ability in troubleshooting live database issues and bottlenecks
Hands-on with cloud database services (Azure SQL, AWS RDS)
Excellent communication and cross-functional collaboration skills
Strong analytical and problem-solving abilities
A Bachelor’s degree in Computer Science, Information Technology, or related field

Job Responsibility

Administer and manage SQL Server databases, including AlwaysOn Availability Groups (AAGs) and Failover Cluster Instances (FCIs)
Optimize database performance through advanced query tuning, indexing, and execution plans
Troubleshoot and resolve issues such as blocking, deadlocks, and slow queries
Automate DBA tasks using PowerShell, T-SQL, and modern DataOps practices
Monitor and manage cloud databases (Azure SQL, AWS RDS, etc.)
Collaborate with engineering teams to ensure high availability, scalability, and disaster recovery readiness
Implement database backup, restore, and DR strategies aligned with enterprise needs

What we offer

Opportunity to work on cutting-edge database and DataOps practices
Collaborate with experts across data engineering, AI, and cloud technologies
Access to learning platforms, certifications, and mentoring
Leadership visibility and opportunities to grow within a fast-scaling team
Attractive performance-linked rewards

Fulltime

New

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

Senior Director - Data Engineering & Machine Learning

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

Location

Canada

Salary:

Not provided

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

What we offer

Remote work with flexible working hours
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
Client 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
Possibility to obtain paid certification/courses if they align with company goals and are relevant to the employee's role

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.

Lead Data Engineer

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

Location

India , Bengaluru

Salary:

Not provided

Rearc

Expiration Date

Until further notice

Requirements

10+ years of experience in data engineering, data architecture, or related fields
Extensive experience in writing and testing Java and/or Python
Proven experience with data pipeline orchestration using platforms such as Airflow, Databricks, DBT or AWS Glue
Hands-on experience with data analysis tools and libraries like Pyspark, NumPy, Pandas, or Dask
Proficiency with Spark and Databricks is highly desirable
Proven track record of leading complex data engineering projects, including designing and implementing scalable data solutions
Hands-on experience with ETL processes, data warehousing, and data modeling tools
In-depth knowledge of data integration tools and best practices
Strong understanding of cloud-based data services and technologies (e.g., AWS Redshift, Azure Synapse Analytics, Google BigQuery)
Strong strategic and analytical skills

Job Responsibility

Understand Requirements and Challenges: Collaborate with stakeholders to deeply understand their data requirements and challenges
Implement with a DataOps Mindset: Embrace a DataOps mindset and utilize modern data engineering tools and frameworks, such as Apache Airflow, Apache Spark, or similar, to build scalable and efficient data pipelines and architectures
Lead Data Engineering Projects: Take the lead in managing and executing data engineering projects, providing technical guidance and oversight to ensure successful project delivery
Mentor Data Engineers: Share your extensive knowledge and experience in data engineering with junior team members, guiding and mentoring them to foster their growth and development in the field
Promote Knowledge Sharing: Contribute to our knowledge base by writing technical blogs and articles, promoting best practices in data engineering, and contributing to a culture of continuous learning and innovation

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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