iLink Digital
Chicago, United States | Posted on 09/23/2025
iLink is a GlobalSoftware Solution Provider and Systems Integrator, deliversnext-generation technology solutions to help clients solvecomplex business challenges, improve organizationaleffectiveness, increase business productivity, realizesustainable enterprise value and transform your businessinside-out. iLink integrates software systems and developscustom applications, components, and frameworks on the latestplatforms for IT departments, commercial accounts, applicationservices providers (ASP) and independent software vendors(ISV). iLink solutions are used in a broad range of industriesand functions, including healthcare, telecom, government, oiland gas, education, and life sciences. iLink’s expertiseincludes Cloud Computing & Application Modernization, DataManagement & Analytics, Enterprise Mobility, Portal,collaboration & Social Employee Engagement, EmbeddedSystems and User Experience designetc.
What makes iLinkSystems' offerings unique is the fact that we usepre-created frameworks, designed to accelerate softwaredevelopment and implementation of business processes for ourclients. iLink has over 60 frameworks (solution accelerators),both industry-specific and horizontal, that can be easilycustomized and enhanced to meet your current businesschallenges.
Requirements
We are seeking an experienced
Azure Data Architect
with strong expertise in
Databricks
to design, implement, and optimize scalable cloud-based data solutions. The ideal candidate will have hands-on experience with
Azure data services, modern data architectures, data lakehouse concepts, and advanced analytics platforms
. You will play a key role in shaping enterprise-wide data strategies, ensuring governance, and enabling data-driven decision-making.
Key Responsibilities
Design and implement
end-to-end data architecture
leveraging Azure services (Azure Data Lake, Synapse Analytics, Data Factory, Databricks, Cosmos DB, etc.). Build and optimize
data pipelines
for batch and real-time ingestion, transformation, and processing using Databricks. Define and enforce
data modeling, data governance, and metadata management standards
. Collaborate with business stakeholders, data engineers, and data scientists to align architecture with organizational goals. Implement
scalable lakehouse solutions
combining structured and unstructured data for analytics and AI/ML workloads. Ensure
performance, security, and compliance
across all data solutions. Provide
technical leadership and best practices
for Azure and Databricks adoption. Conduct architecture reviews, capacity planning, and cost optimization on Azure.
Required Skills & Qualifications 10+ years
of overall IT experience, with
5+ years in Data Architecture
. Strong expertise in
Azure Data Services
(Data Factory, Data Lake Gen2, Synapse, Event Hub, Functions, Logic Apps). Proven hands-on experience with
Azure Databricks (PySpark, Delta Lake, MLflow, Unity Catalog)
. Strong understanding of
data lakehouse, data mesh, and modern data architecture principles
. Proficiency in
data modeling, ETL/ELT pipelines, and orchestration frameworks
. Knowledge of
SQL and NoSQL databases
(SQL Server, Cosmos DB, PostgreSQL, etc.). Familiarity with
DevOps, CI/CD, Infrastructure-as-Code (IaC)
using ARM, Terraform, or Bicep. Excellent problem-solving, communication, and stakeholder management skills.
#J-18808-Ljbffr
What makes iLinkSystems' offerings unique is the fact that we usepre-created frameworks, designed to accelerate softwaredevelopment and implementation of business processes for ourclients. iLink has over 60 frameworks (solution accelerators),both industry-specific and horizontal, that can be easilycustomized and enhanced to meet your current businesschallenges.
Requirements
We are seeking an experienced
Azure Data Architect
with strong expertise in
Databricks
to design, implement, and optimize scalable cloud-based data solutions. The ideal candidate will have hands-on experience with
Azure data services, modern data architectures, data lakehouse concepts, and advanced analytics platforms
. You will play a key role in shaping enterprise-wide data strategies, ensuring governance, and enabling data-driven decision-making.
Key Responsibilities
Design and implement
end-to-end data architecture
leveraging Azure services (Azure Data Lake, Synapse Analytics, Data Factory, Databricks, Cosmos DB, etc.). Build and optimize
data pipelines
for batch and real-time ingestion, transformation, and processing using Databricks. Define and enforce
data modeling, data governance, and metadata management standards
. Collaborate with business stakeholders, data engineers, and data scientists to align architecture with organizational goals. Implement
scalable lakehouse solutions
combining structured and unstructured data for analytics and AI/ML workloads. Ensure
performance, security, and compliance
across all data solutions. Provide
technical leadership and best practices
for Azure and Databricks adoption. Conduct architecture reviews, capacity planning, and cost optimization on Azure.
Required Skills & Qualifications 10+ years
of overall IT experience, with
5+ years in Data Architecture
. Strong expertise in
Azure Data Services
(Data Factory, Data Lake Gen2, Synapse, Event Hub, Functions, Logic Apps). Proven hands-on experience with
Azure Databricks (PySpark, Delta Lake, MLflow, Unity Catalog)
. Strong understanding of
data lakehouse, data mesh, and modern data architecture principles
. Proficiency in
data modeling, ETL/ELT pipelines, and orchestration frameworks
. Knowledge of
SQL and NoSQL databases
(SQL Server, Cosmos DB, PostgreSQL, etc.). Familiarity with
DevOps, CI/CD, Infrastructure-as-Code (IaC)
using ARM, Terraform, or Bicep. Excellent problem-solving, communication, and stakeholder management skills.
#J-18808-Ljbffr