Job Description

Shift - 24x7

The Data Engineer is responsible for managing, operating, and supporting cloud-based data platforms. This role involves close collaboration with customers and internal teams to ensure stable, secure, and efficient operations of the cloud data ecosystem.
The engineer will work across multiple technologies, including

Azure Data Lake Storage, Databricks, Azure Data Factory, Azure Synapse Analytics, Snowflake, Azure Event Hub, Tidal, Pyramid, Collibra, Power BI, Tableau, MicroStrategy (MSTR), and Alteryx

, ensuring reliable data ingestion, processing, analytics, and reporting.

Key Responsibilities (Level 2 Operational Support)

+ Resolve data pipeline issues and perform proactive monitoring for sensitive and critical batch processes. + Conduct Root Cause Analysis (RCA) and retrospectives for incidents and operational issues.
+ Create, update, and maintain operational runbooks and manage entitlements as required.
+ Implement configuration changes to batch processes and underlying cloud infrastructure.
+ Manually control and manage pipeline executions during scheduled maintenance windows.
+ Perform on-demand operational changes based on instructions provided by the Data Engineering (L3) team.
+ Handle user service requests; for non-runbook-based requests, coordinate effectively with the L3 team.
+ Participate in Disaster Recovery (DR) testing activities (twice a year).
+ Support development and production data synchronization activities.
+ Represent the team in weekly change management board meetings.

Knowledge, Skills, and Abilities

+ Strong hands-on experience with: + Azure Data Lake Storage
+ Azure Databricks
+ Azure Data Factory
+ Azure Synapse Analytics
+ Snowflake
+ Azure Event Hub
+ Tidal Scheduler
+ Pyramid, Collibra
+ Power BI, Tableau, MicroStrategy (MSTR), Alteryx
+ Ability to read, write, and troubleshoot SQL queries and stored procedures.
+ Proven experience in configuring, managing, and troubleshooting cloud data platforms.
+ Strong analytical and problem-solving skills.
+ Excellent written and verbal communication skills, with the ability to clearly explain technical concepts to non-technical stakeholders.
+ Ability to work effectively in small teams while promoting collaboration and inclusiveness.

Job Complexity

+ Requires extensive problem-solving capabilities, including independent investigation of issues and identification of root causes. + Ability to research and utilize multiple information sources, including Microsoft and vendor documentation, to resolve complex issues.
+ Must be capable of prioritizing multiple incidents and tasks while managing competing deadlines.

Experience and Education

+ Bachelor's degree in Computer Science or a related field. + 3-6 years of hands-on experience in configuring and managing Azure-based data analytics solutions.
+ Prior experience working in Azure cloud environments is strongly preferred.

"Remote postings are limited to candidates residing within the country specified in the posting location"

About Rackspace Technology

We are the multicloud solutions experts. We combine our expertise with the world's leading technologies -- across applications, data and security -- to deliver end-to-end solutions. We have a proven record of advising customers based on their business challenges, designing solutions that scale, building and managing those solutions, and optimizing returns into the future. Named a best place to work, year after year according to Fortune, Forbes and Glassdoor, we attract and develop world-class talent. Join us on our mission to embrace technology, empower customers and deliver the future.

More on Rackspace Technology

Though we're all different, Rackers thrive through our connection to a central goal: to be a valued member of a winning team on an inspiring mission. We bring our whole selves to work every day. And we embrace the notion that unique perspectives fuel innovation and enable us to best serve our customers and communities around the globe. We welcome you to apply today and want you to know that we are committed to offering equal employment opportunity without regard to age, color, disability, gender reassignment or identity or expression, genetic information, marital or civil partner status, pregnancy or maternity status, military or veteran status, nationality, ethnic or national origin, race, religion or belief, sexual orientation, or any legally protected characteristic. If you have a disability or special need that requires accommodation, please let us know.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.