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Senior Data Engineer – Azure

Rackspace Technology

United States

Remote

USD 120,000 - 160,000

Full time

30+ days ago

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Job summary

A leading technology company is seeking a Senior Data Engineer with a strong background in Azure to design and implement resilient data solutions. The role involves significant collaboration with cross-functional teams and leadership responsibilities to drive impactful data engineering efforts through agile methodologies.

Qualifications

  • 7+ years of data engineering experience.
  • 3+ years of experience architecting data pipelines.
  • Extensive experience with Azure data services.

Responsibilities

  • Design and build data pipelines for batch and real-time.
  • Lead a team of engineers to deliver impactful results.
  • Collaborate with various stakeholders to build scalable platforms.

Skills

Data Modeling
Data lakehouse concepts
SQL
Python
Spark
DBT
PowerBI
Agile development

Education

Azure Data Engineering certification

Tools

JIRA
Git
Jenkins
TFS
Shell
PowerShell
Bitbucket

Job description

Senior Data Engineer – Azure

This is a hands on data platform engineering role that places significant emphasis on consultative data engineering engagements with a wide range of customer stakeholders; Business Owners, Business Analytics, Data Engineering teams, Application Development, End Users and Management teams.

You Will:

Design and build resilient and efficient data pipelines for batch and real-time streaming

Architect and design data infrastructure on cloud using Infrastructure-as-Code tools.

Collaborate with product managers, software engineers, data analysts, and data scientists to build scalable and data-driven platforms and tools.

Provide technical product expertise, advise on deployment architectures, and handle in-depth technical questions around data infrastructure, PaaS services, design patterns and implementation approaches.

Collaborate with enterprise architects, data architects, ETL developers & engineers, data scientists, and information designers to lead the identification and definition of required data structures, formats, pipelines, metadata, and workload orchestration capabilities

Address aspects such as data privacy & security, data ingestion & processing, data storage & compute, analytical & operational consumption, data modeling, data virtualization, self-service data preparation & analytics, AI enablement, and API integrations.

Lead a team of engineers to deliver impactful results at scale.

Execute projects with an Agile mindset.

Build software frameworks to solve data problems at scale.

Technical Requirements:

7+ years of data engineering experience leading implementations of large-scale lakehouses on Databricks, Snowflake, or Synapse. Prior experience using DBT and PowerBI will be a plus.

3+ years' experience architecting solutions for developing data pipelines from structured, unstructured sources for batch and realtime workloads.

Extensive experience with Azure data services (Databricks, Synapse, ADF) and related azure infrastructure services like firewall, storage, key vault etc. is required.

Strong programming / scripting experience using SQL and python and Spark.

Strong Data Modeling, Data lakehouse concepts.

Knowledge of software configuration management environments and tools such as JIRA, Git, Jenkins, TFS, Shell, PowerShell, Bitbucket.

Experience with Agile development methods in data-oriented projects

Other Requirements:

Highly motivated self-starter and team player and demonstrated success in prior roles.

Track record of success working through technical challenges within enterprise organizations

Ability to prioritize deals, training, and initiatives through highly effective time management

Excellent problem solving, analytical, presentation, and whiteboarding skills

Track record of success dealing with ambiguity (internal and external) and working collaboratively with other departments and organizations to solve challenging problems

Strong knowledge of technology and industry trends that affect data analytics decisions for enterprise organizations

Certifications on Azure Data Engineering and related technologies.



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