Principal Data Architect

Danta Technologies; San Jose (CA); Remote; USD 76.000 - 90.000; Vollzeit

Benefits dieser Stelle

Healthcare insurance

Major holidays

Paid sick leave

Zusammenfassung

Danta Technologies is seeking a Principal Data Architect specializing in data modelling to lead enterprise-scale data platforms in a remote US-based role. The candidate will own data modeling, governance, and cloud-native lakehouse/data mesh architectures, partnering with AI teams and security/compliance groups.

The role requires 15+ years in data engineering and architecture, expertise in SQL, PySpark, Databricks, Snowflake, and related tools, and a proven ability to design scalable, secure

Qualifikationen

• 15+ years of hands-on data engineering and data architecture experience.
• Deep data modeling expertise — dimensional, normalized, and Data Vault.
• Proven experience with lakehouse/data mesh platforms: Databricks, Delta Lake, Snowflake, Kafka, Spark Streaming, and cloud-native services.
• Strong SQL and performance engineering skills: partitioning, clustering, cost management.
• Ownership of data governance, quality, master data, metadata, and lineage programs.
• Experience with data security/compliance in regulated industries.
• Migration of on-prem warehouses to cloud-native platforms.
• Familiar with ML/AI data needs and feature pipelines.

Kenntnisse

SQL

Python

PySpark

Databricks

Delta Lake

Snowflake

Kafka

Spark Streaming

AWS

Azure

Airflow

Terraform

Git CI/CD

Power BI

Tableau

Kubernetes

Docker

FastAPI

OpenAI

LangChain

Ausbildung

BS / MS in Computer Science, Information Systems, Data Engineering

Tools

Databricks

Delta Lake

Snowflake

Kafka

Spark Structured Streaming

AWS (S3, Glue, Redshift, Kinesis, EKS, Lambda)

Airflow

Terraform

dbt

Unity Catalog

Collibra

Alation

Purview

Power BI

Jobbeschreibung

Employment Eligibility Statement

Due to specific project and client requirements, this position is open to U.S. Citizens and U.S. Lawful Permanent Residents (Green Card holders). Sponsorship is not available at this time.

Danta Technologies evaluates all candidates in compliance with the Immigration and Nationality Act (INA) and EEOC guidelines. All hiring decisions are made without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, age, disability, veteran status, or any other protected characteristic.

Position: Principal Data Architect-Data Modelling

Location: Remote - USA only

Contract: Long term position

Pay Rate: $55/hr on W2/Danta Technologies payroll (OR) $65/hr on C2C

Must-Have Experience

• 15+ years of hands-on data engineering and data architecture experience, with a track record of owning enterprise-scale platforms end to end.
• Deep data modeling expertise — dimensional, normalized, and Data Vault — with real judgment about grain, conformance, and when each pattern applies.
• Proven experience architecting lakehouse and/or data mesh platforms: Databricks, Delta Lake, PySpark, Snowflake, Kafka, Spark Structured Streaming, and cloud-native data services (AWS, Azure).
• Strong command of SQL and performance engineering: query optimization, partitioning and clustering, and cost management at scale.
• Demonstrated ownership of data governance, data quality, master data, metadata, and lineage programs — not just the tooling, but the operating model.
• Experience with data security and compliance in regulated industries (financial services, payments, cybersecurity, healthcare).
• Experience migrating legacy on-prem warehouses and ETL estates to cloud-native platforms.
• Working familiarity with the data requirements of ML and AI systems — feature pipelines, training data curation, and retrieval/vector data layers — enough to architect for them credibly and partner well with AI teams. Technical Skills
• Expert: SQL, Python, PySpark, data modeling, Databricks, Delta Lake, Snowflake, Kafka, Spark Structured Streaming, AWS (S3, Glue, Redshift, Kinesis, EKS, Lambda), Airflow, Terraform, Git-based CI/CD.
• Strong: Azure data services, dbt, data quality frameworks (Great Expectations or equivalent), catalog and lineage platforms (Unity Catalog, Collibra, Alation, Purview), MDM tooling, BI semantic layers (Power BI, Tableau, Looker), Docker, Kubernetes, FastAPI, observability tooling (Grafana, CloudWatch).
• Familiar: MLflow, feature stores, vector databases (OpenSearch, Pinecone, FAISS, ChromaDB), knowledge graphs (Neo4j), LLM APIs and RAG frameworks (LangChain, LlamaIndex, AWS Bedrock, Claude, OpenAI.

Qualifications

• BS / MS in Computer Science, Information Systems, Data Engineering, or a related quantitative field.
• Prior experience at a global financial institution (payments, risk, AML, compliance) or large enterprise SaaS, operating under strict regulatory oversight.
• Experience in presales solutioning for large data programs: RFP/RFI responses, SOW shaping, effort estimation, and CXO-level solutioning.
• Certifications such as Databricks Data Engineer Professional, AWS Certified Data Engineer or Solutions Architect, or Snowflake SnowPro Advanced Architect.
• Familiarity with emerging standards for AI and agent data access (e.g., MCP — Model Context Protocol) and agent entitlement models.

Notes

All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation or any other characteristic protected by local law, regulation, or ordinance.

Benefits

Danta offers a compensation package to all W2 employees that are competitive in the industry. It consists of competitive pay, the option to elect healthcare insurance (Dental, Medical, Vision), Major holidays and Paid sick leave as per state law.

The rate/ Salary range is dependent on numerous factors including Qualification, Experience and Location.