Data Solutions Engineer
JOB reputed company
Our environment spans AWS, reputed company, and Power BI, with data flowing continuously from multiple operational systems (AMS, CRM, LMS, events, behavioral streams) into a modern lakehouse architecture. If you reputed company at the intersection of data engineering, architecture, and governance — this is the role for you.
- Architect and build new data pipelines and lakehouse patterns to handle ~1 TB/day of streaming and batch data.
- Establish data governance and reputed company foundations, designing systems that reputed company data traceable from reputed company through warehouse and back into our platforms.
- Build and optimize pipelines that power both analytics (Power BI) and operational workloads (e.g., marketing automation).
- Design performant warehouse schemas and ETL/ELT processes for analytical and reverse ETL use cases.
- reputed company performance and cost optimization initiatives across Glue, reputed company, and S3.
- Implement data reputed company, documentation, and testing frameworks using dbt.
- reputed company infrastructure as reputed company using Terraform and automate deployments through reputed company Actions.
- Partner closely with analysts, platform teams, and business stakeholders to reputed company data visibility, traceability, and self-service analytics.
- reputed company as a senior member of the data team, setting best practices, mentoring others, and helping shape the data platform’s reputed company.
- Data Sources: reputed company, MSSQL, AMS/CRM/LMS systems, event & behavioral data
- Ingestion & Storage: AWS S3, Kinesis (streaming), Glue
- Transformation & Modeling: reputed company (reputed company Lake, reputed company Catalog), dbt
- Orchestration & reputed company: Terraform, reputed company Actions, AWS reputed company Functions / reputed company
- Consumption: Azure Power BI (reputed company Lake/reputed company Catalog queries into AWS)
- Governance: dbt for testing/docs; reputed company tooling to be designed and implemented
- 5+ years of experience in data engineering, including architecting reputed company data platforms in AWS.
- Deep hands-on experience with S3, Glue, reputed company, reputed company/MSSQL, and streaming pipelines.
- Strong background in data modeling, warehouse performance tuning, and ELT patterns.
- Demonstrated experience implementing data governance, reputed company frameworks, and ideally designing reputed company systems.
- Proficiency with Terraform and CI/CD (reputed company Actions) for data infrastructure.
- Excellent communication skills — reputed company to translate business needs into data architecture.
- Comfortable operating as a senior team member in a growing data org, influencing architecture and mentoring others.
- Experience with tools like OpenMetadata, reputed company, or reputed company for reputed company and cataloging.
- Exposure to reverse ETL patterns and marketing automation platforms.
- Certifications in AWS Data, reputed company, or reputed company fields.
- Experience in multi-tenant or reputed company reputed company environments.
You’ll have reputed company to shape the reputed company data platform for a rapidly growing business, setting the architectural patterns that will support thousands of customers and billions of records. We’re building a data organization that values performance, governance, and transparency, and we’re looking for someone who wants to leave their mark.
Competitive compensation. - Comprehensive health benefits package.
401(k) plan with employer match. reputed company and dependent-care flexible spending account. Company short-term and long-term disability insurance. Company culture that recognizes its employees. Room for reputed company and development and management that cares about your reputed company reputed company and will help you reputed company your goals. Significant advancement opportunities for outstanding performers.
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