Solution Architect â Advanced Analytics (Data Vault, Canonical Modeling, Databricks) - 100% Remote - US Based
Solution Architect â Advanced Analytics (Data Vault, Canonical Modeling, Databricks) - 100% Remote - US Based
Employer Active
Job Alert
You will be updated with latest job alerts via email
Share
Job Alert
You will be updated with latest job alerts via email
Not Disclosed
Salary Not Disclosed
1 Vacancy
Job Description
As a Solution Architect Advanced Analytics within our professional services practice you will lead the design and delivery of cloudnative analytics architectures that solve complex data challenges for enterprise clients. This is a highly technical role that also requires strong consultative and business communication skills. Youll work directly with clients to assess needs define modern analytics solutions and lead implementation across the data lifecyclefrom ingestion and storage to reporting and machine learning. In addition to technical excellence youll play a key role in articulating the business value and ROI of these solutions bridging the gap between IT and strategic business outcomes.
Key Responsibilities:
- Lead the architecture of scalable secure and costefficient data platforms on cloud infrastructure (AWS Azure GCP).
- Collaborate with client stakeholders to define business goals and map them to technical capabilities and solution designs.
- Design and implement robust data pipelines (batch and streaming) modeling strategies and analytics workflows using modern toolchains.
- Guide the selection and integration of data warehousing lakehouse and visualization platforms.
- Present architectural proposals and technical recommendations to client leadership emphasizing expected business impact and measurable outcomes (e.g. faster timetoinsight reduced data ops overhead improved data quality).
- Translate technical tradeoffs into business terms to help clients make informed decisions.
- Support clients in aligning analytics architectures with KPIs compliance requirements and digital transformation goals.
- Participate in sales support activities such as technical scoping RFP responses demos and solution architecture documentation.
- Act as a mentor to consultants and data engineers ensuring best practices are followed throughout implementation.
Qualifications :
Technical Stack (Experience Preferred):
- Cloud Platforms: AWS (Redshift Glue EMR) Azure (Synapse Data Factory) GCP (BigQuery Dataflow)
- Data Engineering: dbt Spark Airflow Databricks Snowflake Delta Lake Data Vault Canonical Data Model
- Streaming: Kafka Kinesis Event Hubs
- Storage & Warehousing: S3 ADLS BigQuery Synapse Snowflake
- Programming: SQL (advanced) Python PySpark
- BI/Visualization: Power BI Tableau Looker
- Infra & DevOps: Terraform Docker Kubernetes CI/CD (GitHub Actions Azure DevOps)
- Security & Governance: IAM RBAC encryption compliance (HIPAA SOC 2 GDPR)
Qualifications:
Required:
- Bachelors degree in Computer Science Data Engineering or a related technical discipline.
- 7 years of experience in data and analytics with 3 years in a lead or architect role.
- Proven ability to design and implement complex analytics platforms and data ecosystems.
- Demonstrated experience communicating technical concepts to business audiences with an emphasis on value realization and impact.
- Background in consulting or professional services with clientfacing responsibilities.
Preferred:
- Masters degree in a technical or datafocused discipline.
- Certifications in AWS Azure or GCP (architect or data engineering tracks).
- Experience aligning analytics initiatives with business strategies like digital transformation customer 360 or operational optimization.
- Exposure to MLOps and integration of ML models into data pipelines.
Soft Skills:
- Strong communicator capable of translating technical detail into business language and strategic insight.
- Confident and consultative client presence able to influence and build consensus with stakeholders at all levels.
- Analytical thinker with the ability to balance innovation with practicality.
- Proactive and selfdirected with a commitment to continuous learning and knowledge sharing.
Additional Information :
At CoEnterprise we believe diversity drives innovation. We are committed to creating and maintaining a workplace in which all employees have an opportunity to participate and contribute to the success of our business. In recruiting for our team we welcome the unique contributions that you can bring. We value employees for their differences represented by a variety of dimensions including demographics behaviors work style and perspectives.
We are an AA/EOE employer.
Remote Work :
Yes
Employment Type :
Fulltime
Employment Type
Remote
Company Industry
Key Skills
- Business Process
- VMware
- Cloud
- HTML5
- Windows
- Project managements
- AWS
- Infrastructure
- Web Services
- JQuery
- Java
- Computer Engineering
- Solutions design
- Technical Solutions
- Analytics
