Overview
On Site
Hybrid
Depends on Experience
Full Time
Skills
ADF
Advanced analytics
Amazon Web Services
Analytics
Apache Spark
Big data
Cloud computing
Data warehouse
Data security
ELT
IT management
Google Cloud Platform
PySpark
Python
Microsoft Azure
Identity management
Shell scripting
Job Details
Role: Solution Architect
Location: Chicago, IL
Duration: Full-Time
Mode of work: Onsite/Hybrid (2 days onsite)
As a Solution Architect, you will be responsible for:
Technical Skills:
Location: Chicago, IL
Duration: Full-Time
Mode of work: Onsite/Hybrid (2 days onsite)
As a Solution Architect, you will be responsible for:
- Strategic planning and hands-on engineering of Big Data and cloud environments that support our clients advanced analytics and data science initiatives.
- Provide support in defining the scope and sizing of work
- Working closely with various enterprise architects Information security teams, Data management team, to ensure the architected solution meets all the needs of a customer, from a functionality perspective and IT solution engineering perspective.
- Translate business requirements into technology solutions
- Mentor and guide Jr. team members to deliver the solutions on-time
- Create various architecture blueprints and work with the development team to deliver the vision.
- Lead and own all aspects of our data solution including artifact creation such as diagrams, playbooks and other technical documents
Technical Skills:
- Overall 15+ years of experience of experience with Data Management, Big Data, Data Warehousing and Analytics.
- At least 3 to 4 years of experience in Architecting and Implementing Data Solutions on Azure using Synapse and ADF.
- 3+ years of hands-on experience with ADF, Pyspark
- More than one year of multi-cloud experience in at least two of the three public Cloud Platforms (Azure, AWS and Google Cloud Platform)
- One to two years of experience in Microsoft Fabric is plus.
- Hands on working experience with scripting languages such as Python, Pyspark, Spark SQL or Shell Scripting, etc.
- Extensive hands-on experience in building and optimizing Databricks notebooks, tuning and optimizing ETL/ELT process developed ADF.
- In-depth understanding of various storage services offered by Azure.
- Experience with data process Orchestration, end-to-end design and build process of Near-Real Time and Batch Data Pipelines
- Experience with implementation of data security, encryption, PII/PSI legislation, identity and access management across sources and environments.
- Certification in solution architecture, data engineering and development in Azure is preferred.
- Experience with one or two reporting and analytical tools like Power BI/Tableau is must.
- Ability to provide technical leadership and oversight on multiple projects/tracks.
- Strong client-facing communication and facilitation skills
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.