Lead Data Architect

ALOIS Solutions; Minneapolis (MN); On-site; USD 140,000 - 200,000; Full time

Job summary

ALOIS Solutions seeks a Data (DBX) Leader with 12–15 years of progressive experience to design, implement, and govern enterprise cloud and data architectures.

The ideal candidate brings deep AWS and Databricks expertise, with strong architectural leadership in Banking and Financial domains; Azure experience is a significant advantage.

You will shape cloud strategy, guide engineering teams, and ensure solutions meet enterprise standards for scalability, security, performance, and cost-efficiency.

Qualifications

• 12–15 years of overall IT experience with strong focus on cloud, data engineering, and enterprise architecture in Banking and Financial domain.
• 5+ years of hands-on experience architecting production solutions on AWS.
• 3+ years’ strong experience in Databricks (Spark, Delta Lake, MLflow, Unity Catalog).
• Proficiency in Python, SQL, PySpark, and distributed data processing frameworks.
• Deep understanding of data modeling, data governance, metadata management, and modern security practices.
• Experience with CI/CD pipelines, Terraform / CloudFormation, GitOps, and end-to-end automation.
• Strong knowledge of cloud networking, VPCs, IAM, encryption, identity governance, and security frameworks (NIST, CIS benchmarks).
• (Preferred) Experience with Azure cloud architecture, including Azure Databricks, ADF, ADLS, Synapse, and Azure DevOps.

Responsibilities

• Architect and design enterprise-grade cloud solutions leveraging AWS services (EC2, S3, Glue, Lambda, Kinesis, IAM, Redshift, EMR).
• Design Databricks Lakehouse solutions including Delta Lake, Unity Catalog, Spark optimization, governance, and MLOps patterns.
• Build scalable ETL/ELT pipelines, real-time streaming architectures, and reusable data integration frameworks.
• Develop high-level and low-level architecture blueprints ensuring security, compliance, cost efficiency, reliability, and performance.
• Lead requirement discovery, translate business needs into robust architectural designs and roadmaps.
• Create HLDs, LLDs, data flow diagrams, integration patterns, deployment models, and security reference architectures.
• Oversee end-to-end delivery, guiding engineering and DevOps teams through implementation and optimization.
• Perform architecture assessments and recommend improvements for scalability, resilience, and cost savings.
• Provide thought leadership and hands-on direction to data engineering, analytics, DevOps, and platform teams.
• Establish best practices for coding, data governance, CI/CD, infrastructure automation, and environment management.
• Introduce and evaluate emerging cloud technologies, tools, and frameworks relevant to analytics and modern data platforms.
• Good in client engagement and act as technical SME for client conversations, workshops, and executive presentations.
• Communicate complex architectural concepts clearly to both technical and non-technical audiences.
• Partner closely with business stakeholders to define solution vision, roadmap, and success metrics.

Skills

AWS

Databricks

Python

SQL

PySpark

Data governance

CI/CD

Tools

Terraform

CloudFormation

GitOps

Azure Databricks

Job description

• We are seeking an accomplished Data (DBX) Leader with 12–15 years of progressive experience in designing, implementing, and governing enterprise cloud and data architectures. The ideal candidate brings deep expertise in AWS and Databricks, with strong architectural leadership capabilities from Banking and Financial domain. Exposure to Azure cloud services is a significant advantage.
• This is a senior/lead role responsible for shaping cloud strategy, guiding engineering teams, and ensuring that solutions meet enterprise standards for scalability, security, performance, and cost-efficiency.

Key Responsibilities:

• Architect and design enterprise-grade cloud solutions leveraging AWS services (EC2, S3, Glue, Lambda, Kinesis, IAM, Redshift, EMR).
• Design Databricks Lakehouse solutions including Delta Lake, Unity Catalog, Spark optimization, governance, and MLOps patterns.
• Build scalable ETL/ELT pipelines, real-time streaming architectures, and reusable data integration frameworks.
• Develop high-level and low-level architecture blueprints ensuring security, compliance, cost efficiency, reliability, and performance.

Solution Design & Delivery

• Lead requirement discovery, translate business needs into robust architectural designs and roadmaps.
• Create HLDs, LLDs, data flow diagrams, integration patterns, deployment models, and security reference architectures.
• Oversee end-to-end delivery, guiding engineering and DevOps teams through implementation and optimization.
• Perform architecture assessments and recommend improvements for scalability, resilience, and cost savings

Technical Leadership

• Provide thought leadership and hands-on direction to data engineering, analytics, DevOps, and platform teams.
• Establish best practices for coding, data governance, CI/CD, infrastructure automation, and environment management.
• Introduce and evaluate emerging cloud technologies, tools, and frameworks relevant to analytics and modern data platforms.

Stakeholder & Client Management

• Good in client engagement and Act as technical SME for client conversations, workshops, and executive presentations.
• Communicate complex architectural concepts clearly to both technical and non-technical audiences.
• Partner closely with business stakeholders to define solution vision, roadmap, and success metrics.

Required Skills & Experience: Technical Expertise

• 12–15 years of overall IT experience with strong focus on cloud, data engineering, and enterprise architecture in Banking and Financial domain.
• 5+ years of hands-on experience architecting production solutions on AWS.
• 3+ years’ strong experience in Databricks (Spark, Delta Lake, MLflow, Unity Catalog).
• Proficiency in Python, SQL, PySpark, and distributed data processing frameworks.
• Deep understanding of data modeling, data governance, metadata management, and modern security practices.
• Experience with CI/CD pipelines, Terraform / CloudFormation, GitOps, and end-to-end automation.
• Strong knowledge of cloud networking, VPCs, IAM, encryption, identity governance, and security frameworks (NIST, CIS benchmarks).
• (Preferred) Experience with Azure cloud architecture, including Azure Databricks, ADF, ADLS, Synapse, and Azure DevOps.