Please Note: As of July 22 2021 our team will require that all candidate submissions include a LinkedIn profile. Please do not submit any candidates that do not have a LinkedIn.
has a client in San Antonio TX that is seeking a Databricks Lakehouse Architect to lead the design and implementation of a modern data platform. This role will drive end-to-end architecture establish scalable data patterns and create a repeatable onboarding framework for future data domains and legacy system migrations.
Responsibilities:
Design and implement a reference proof-of-concept pipeline using HR data as the initial domain
Perform data profiling and quality assessments to identify gaps anomalies and remediation requirements
Define reusable architectural patterns templates and best practices to support future domain onboarding
Develop a standardized onboarding playbook for migrating legacy data systems to Databricks
Produce architecture blueprints and technical documentation
Lead knowledge transfer sessions with technical and business stakeholders
Present executive-level readouts including roadmap recommendations and next-phase guidance
Lead end-to-end architecture design for a Databricks Lakehouse environment including: Medallion (Bronze/Silver/Gold) data layer strategy
Security governance and access control frameworks Conduct discovery and current-state assessments of HR and succession planning data systems including: Data inventory and lineage
Data quality dependencies and integration points
Required Skills : * Strong experience designing and implementing Databricks Lakehouse architectures * Hands-on expertise with medallion data modeling (Bronze/Silver/Gold) * Experience with data governance security and access controls in cloud data platforms * Proven ability to conduct data discovery profiling and quality assessments * Experience building proof-of-concept data pipelines and reference architectures * Strong communication skills with the ability to present to both technical and executive audiences
Basic Qualification :
Additional Skills :
Background Check : No
Drug Screen : No
Rank :A3 Requested Date :
Please Note: As of July 22 2021 our team will require that all candidate submissions include a LinkedIn profile. Please do not submit any candidates that do not have a LinkedIn. has a client in San Antonio TX that is seeking a Databricks Lakehouse Architect to lead the design and implementation o...
Please Note: As of July 22 2021 our team will require that all candidate submissions include a LinkedIn profile. Please do not submit any candidates that do not have a LinkedIn.
has a client in San Antonio TX that is seeking a Databricks Lakehouse Architect to lead the design and implementation of a modern data platform. This role will drive end-to-end architecture establish scalable data patterns and create a repeatable onboarding framework for future data domains and legacy system migrations.
Responsibilities:
Design and implement a reference proof-of-concept pipeline using HR data as the initial domain
Perform data profiling and quality assessments to identify gaps anomalies and remediation requirements
Define reusable architectural patterns templates and best practices to support future domain onboarding
Develop a standardized onboarding playbook for migrating legacy data systems to Databricks
Produce architecture blueprints and technical documentation
Lead knowledge transfer sessions with technical and business stakeholders
Present executive-level readouts including roadmap recommendations and next-phase guidance
Lead end-to-end architecture design for a Databricks Lakehouse environment including: Medallion (Bronze/Silver/Gold) data layer strategy
Security governance and access control frameworks Conduct discovery and current-state assessments of HR and succession planning data systems including: Data inventory and lineage
Data quality dependencies and integration points
Required Skills : * Strong experience designing and implementing Databricks Lakehouse architectures * Hands-on expertise with medallion data modeling (Bronze/Silver/Gold) * Experience with data governance security and access controls in cloud data platforms * Proven ability to conduct data discovery profiling and quality assessments * Experience building proof-of-concept data pipelines and reference architectures * Strong communication skills with the ability to present to both technical and executive audiences