Tech Lead - Principal Solutions Architect

Data Inc
United States
12 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
10 years minimum
Working hours
Regular working hours
Job source

Tech stack

Amazon Web Services Amazon S3 Business Analytics Applications Business Intelligence Development Cloud Computing Security Information Systems Data Architecture Information Engineering Data Governance Data Mart Data Stores Data Warehousing
+23 more
Database Queries Dimensional Modeling Identity and Access Management PostgreSQL Meta-Data Management Metadata Repositories Power BI Cloud Services Tableau (Software) Enterprise Data Management Software Repository Qliksense Apache Spark Indexer Cloudformation Data Lakes Information Technology AWS Glue Star Schema Data Management Terraform Amazon 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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