Data/Information Architect

Company : Circle K
Location : Tempe, AZ, 85281
Posted Date : 15 October 2025
Job Type : Other
Category : Architecture
Occupation : Architect
Job Details
Mandatory Skills: Azure Databricks, Azure data lake, Ansible, SQL, Terraform, Kafka , Azure CLI, Databricks CLI, PowerShell and/or Bash.
What Could Set You Apart
Click below to review information about our company's use of the federal E-Verify program to check work eligibility:
In English
In Spanish
What Could Set You Apart
- Must have designed the E2E architecture of unified data platform covering all the aspects of data lifecycle starting from Data Ingestion, Transformation, operations, and consumption.
- Experience in handling the key activities for the Enterprise Architecture practice for a specific sector.
- Managing and mentoring architecture talent in the respective sector
- Should have delivered architecture initiatives and showcased clear business efficiency in line with business strategies. Should have taken end-end responsibility & accountability in terms of architecture.
- Should have delivered architecture roadmaps and develop delivery blueprints for the technology design.
- Excellent communication skills and customer management skills
- Should be able to deliver architectural initiatives in the space of digital, cloud, open-source technologies. Should have performed a similar role & capacity for large transformational engagements.
- Hands on development Design and Develop applications using Databricks. Experience with Azure, AWS, or other cloud technologies
- In depth understanding of Spark Architecture including Spark Core, Spark SQL, Data Frames, Spark Streaming, RDD caching, Spark MLib.
- Good to have any programming language experience with Python/ SQL or Spark/Scala.
- Strong understanding of Data Modeling and defining conceptual logical and physical data models.
- To be successful in this role, this individual must be familiar with data integration, data modeling, data warehousing, big data technologies, and should be the subject matter expert.
- Maintains close awareness of new and emerging technologies and their potential application for service offerings and products.
- Experience in architecting and designing technical solutions for cloud-centric solutions based on industry standards using IaaS, PaaS, and SaaS capabilities.
- Experience building and supporting mission-critical technology components with DR capabilities.
- Experience with multi-tier system and service design & development for large enterprises
- Exposure to infrastructure and application security technologies and approaches
- Familiarity with requirements gathering techniques.
- Must have excellent coding skills either Python or Scala, preferably Python.
- Must have at least 10+ years of experience in architecture, design, implementation, and analytics solutions with total of 12+ years in Data Engineering domain.
- Must have designed and implemented at least 2-3 projects end-to-end in Databricks.
- Must have at least 3+ years of experience in databricks which consists of various components as below.
- Delta lake
- dbConnect
- db API 2.0
- SQL Endpoint Photon engine
- Unity Catalog
- Databricks workflows orchestration
- Security management
- Platform governance
- Data Security
- Must have followed various architectural principles to design best suited per problem.
- Must be well versed with Databricks Lakehouse concept and its implementation in enterprise environments.
- Must have strong understanding of Data warehousing and various governance and security standards around Databricks.
- Must have knowledge of cluster optimization and its integration with various cloud services.
- Must have good understanding to create complex data pipelines.
- Must be strong in SQL and spark-sql.
- Must have strong performance optimization skills to improve efficiency and reduce cost.
- Must have worked on designing both Batch and streaming data pipeline.
- Must have extensive knowledge of Spark and Hive data processing framework.
- Must have worked on any cloud (Azure, AWS, GCP) and most common services like ADLS/S3, ADF/Lambda, Cloud databases.
- Must be strong in writing unit test case and integration test.
- Must have strong communication skills and have worked with cross-platform teams.
- Must have great attitude towards learning new skills and upskilling the existing skills.
- Responsible for setting best practices around Databricks CI/CD.
- Must understand composable architecture to take full advantage of Databricks capabilities.
- Experience with machine learning tools such as mlFlow, Databricks AI/ML, Azure ML, AWS sagemaker, etc.
- Experience in distilling complex technical challenges to actionable decisions for stakeholders and guiding project teams by building consensus and mediating compromises when necessary.
- Experience coordinating the intersection of complex system dependencies and interactions.
- Experience in solution delivery using common methodologies especially SAFe Agile but also Waterfall, Iterative, etc.
- Good to have Rest API knowledge.
- Good to have understanding around cost distribution.
- Good to have knowledge on migration project to build Unified data platform.
- Good to have knowledge of DBT.
- Experience around DevSecOps including docker and Kubernetes.
- Software development full lifecycle methodologies, patterns, frameworks, libraries, and tools
- Knowledge of programming and scripting languages such as JavaScript, PowerShell, Bash etc.
- Experience with data ingestion technologies such as Azure Data Factory, SSIS, Pentaho, Alteryx.
- Experience with visualization tools such as Tableau, Power BI.
- Demonstrated knowledge of relevant industry trends and standards
Click below to review information about our company's use of the federal E-Verify program to check work eligibility:
In English
In Spanish
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