Lead Data Architect
Job in
Minneapolis, Hennepin County, Minnesota, 55400, USA
Listed on 2026-08-22
Listing for:
ALOIS Solutions
Full Time
position Listed on 2026-08-22
Job specializations:
-
IT/Tech
Cloud Computing: Infrastructure & Operations, Data Engineering
Job Description & How to Apply Below
- 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
.
- 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 Dev Ops 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, Dev Ops, 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 & 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 / Cloud Formation, Git Ops, 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 Dev Ops.
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