Tech Lead - Principal Solutions Architect

Data Inc
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Tech stack

Amazon Web Services (AWS)
Amazon Web Services (AWS)
Business Analytics Applications
Business Intelligence
Cloud Computing Security
Information Systems
Data Architecture
Information Engineering
Data Governance
Data Mart
Data Stores
Data Warehousing
Database Queries
Dimensional Modeling
Identity and Access Management
PostgreSQL
Meta-Data Management
Metadata Repositories
Power BI
Cloud Services
Tableau
Enterprise Data Management
Software Repository
Qliksense
Spark
Indexer
Cloudformation
Data Lake
Information Technology
Amazon Web Services (AWS)
Star Schema
Data Management
Terraform
Redshift
Databricks

Job description

Halvik is seeking an experienced Tech Lead - Principal Solutions Architect with 10+ years of experience in Data Architecture, Data Warehousing, and Cloud Data Platforms. The ideal candidate will lead the architecture, design, and implementation of enterprise-scale data warehouse, data lake, and analytics solutions supporting a Federal Government client. This role requires deep expertise in AWS cloud services, modern data engineering practices, metadata management, and enterprise data modeling.

The successful candidate will work closely with business stakeholders, data engineers, cloud engineers, BI developers, and technical leadership to design scalable, secure, and high-performance data platforms that enable enterprise analytics and reporting.

Requirements

Bachelor''''s or Master''''s degree in Computer Science, Information Systems, Engineering, or related field. 10+ years of experience in Data Warehousing, Data Architecture, or Enterprise Data Engineering. Extensive experience designing enterprise Data Lakes, Data Warehouses, and Data Marts. Strong expertise in AWS cloud technologies including: AWS S3 Amazon Redshift Amazon Aurora PostgreSQL AWS Glue AWS IAM Experience with modern analytics platforms including: Databricks Delta Lake Apache Spark Strong knowledge of dimensional modeling, star schema, snowflake schema, normalized and denormalized models. Experience designing high-performance data repositories for large-scale analytical workloads. Expertise in partitioning, indexing, compression, archival strategies, and storage optimization. Experience designing Slowly Changing Dimensions (SCD Type 1, Type 2, Type 3). Strong SQL skills with experience optimizing complex analytical queries. Experience implementing metadata repositories and enterprise data catalogs. Experience designing secure cloud-native data platforms. Hands-on experience with Infrastructure as Code (Terraform, CloudFormation, or similar). Strong documentation and architecture governance experience. Preferred Qualifications Experience with Palantir Foundry, including: Ontology Code Repositories Contour Quiver Workshop Experience integrating enterprise BI tools such as: Tableau Qlik Sense Socrata Power BI Experience implementing enterprise data catalog solutions. Experience with Data Governance and Metadata Management.

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