Overview
On Site
Depends on Experience
Accepts corp to corp applications
Contract - W2
Contract - 12 Month(s)
No Travel Required
Unable to Provide Sponsorship
Skills
Apache Spark
Big Data
Apache Hadoop
SQL
Python
Data Architecture
Google Cloud Platform
Data Warehouse
Kubernetes
Google Cloud
Job Details
Role Overview
We are seeking a highly experienced Data Architect with 12 years of overall IT experience and deep expertise in designing and managing enterprise data landscapes. The ideal candidate will have strong hands-on experience across data warehousing, data lakes, big data platforms, and cloud-native data solutions, with a proven ability to drive data strategy, architecture, and advanced analytics initiatives.
Key Responsibilities
- Design, architect, and optimize enterprise data platforms including Data Warehouses, Data Lakes, and Customer Data platforms (Customer 360).
- Lead big data and analytics initiatives using Hadoop ecosystem technologies, Spark, and cloud-native tools.
- Perform deep data exploration and advanced data analysis to support business intelligence and data-driven decision-making.
- Architect and implement scalable data pipelines on Google Cloud Platform (Google Cloud Platform) using services such as Dataflow, Dataproc, and Kubernetes.
- Collaborate with cross-functional teams to define data models, integration strategies, and data governance standards.
- Ensure data quality, performance optimization, security, and scalability across platforms.
Required Skills & Qualifications
- 12 years of overall IT experience with strong focus on data architecture and analytics.
- Hands-on experience with Big Data technologies and the Hadoop ecosystem.
- Strong programming and query skills in SQL, Python, and/or Spark.
- Solid expertise in Data Warehousing concepts and Customer Data Management (Customer 360).
- Proven experience with Google Cloud Platform data services, including:
- Dataflow
- Dataproc
- Kubernetes / containerized data workloads
- Strong analytical mindset with expertise in data exploration and analysis.
- Excellent communication and interpersonal skills, with the ability to work effectively with technical and business stakeholders.
We are proud to be an Equal Employment Opportunity (EEO) and Affirmative Action employer. We at HL Solutions do not discriminate based on Race, Religion, Color, National origin, Sex, Sexual orientation, Gender identity, Gender expression, Age, and Disability status.
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