Architect scalable enterprise analytics solutions using Databricks, Power BI, and other modern data tools.
Leverage data virtualization, ETL, and semantic layers to balance need for unification, performance, and data transformation with goal to reduce data proliferation
Support development planning by break ing down features into work that aligns with the architectural direction runway
Participate hands-on in pilots and proofs-of-concept for new pattern
Create robust documentation of architectural direction, patterns, and standards
Present and train engineers and cross-team collaborators on architecture strategy and patterns
Collaborate with data engineers to build and optimize ETL pipelines, ensuring efficient data ingestion and processing from multiple sources.
Design robust data models , and processing layers, that support both analytical processing and operational reporting needs.
Develop and implement best practices for data governance, security, and compliance within Databricks and Power BI environments.
ensure the integration of data systems with other enterprise applications, creating seamless data flows across platforms.
Provide thought leadership and strategic guidance on data architecture, advanced analytics, and data mastering best practices.
Develop and maintain Power BI solutions, ensuring data models and reports are optimized for performance and scalability.
Serve as a subject matter expert on Power BI and Databricks, providing technical leadership and mentoring to other teams.
Collaborate with stakeholders to define data requirements, architecture specifications, and project goals.
Continuously evaluate and adopt new technologies and methodologies to enhance the architecture and performance of data solutions
Basic Qualifications and Experience
Master's degree with 4 to 6 years of experience in data management and data architecture O
Bachelor's degree with 6 to 8 years of experience in data management and data architectur
Functional
Skills:
Must-Have Skills
Minimum of 3 years of hands-on experience with BI solutions (Preferably Power BI or Business Objects) including report development, dashboard creation, and optimization.
Minimum of 7 years of hands-on experience building change-data-capture (CDC) ETL pipelines, data warehouse design and build, and enterprise-level data management
Hands-on experience with Databricks, including data engineering, optimization, and analytics workloads.
Deep understanding of Power BI, including model design , DAX, and Power Query.
Proven experience designing and implementing data mastering solutions and data governance frameworks.
Expertise in cloud platforms ( AWS ), data lakes, and data warehouses.
Strong knowledge of ETL processes, data pipelines, and integration technologies
Strong communication and collaboration skills to work with cross-functional teams and senior leadership.
Ability to assess business needs and design solutions that align with organizational goals.
Exceptional h ands - on capabilities with data profiling, data transformation, data mastering
Success in mentoring and training team members
Good-to-Have
Skills:
Experience in developing differentiated and deliverable solutions
Experience with human data, ideally human healthcare data
Familiarity with laboratory testing, patient data from clinical care, HL7, FHIR, and/or clinical trial data management
Professional Certifications (please mention if the certification is preferred or mandatory for the role)
ITIL Foundation or other relevant certifications (preferred)
SAFe Agile Practitioner (6.0
Microsoft CertifiedData Analyst Associate (Power BI) or related certification.
Databricks Certified Professional or similar certification.
Soft
Skills:
Excellent analytical and troubleshooting skills
Deep intellectual curiosity
High est degree of initiative and self-motivation
Strong verbal and written communication skills , including presentation to varied audiences of complex technical/business topics
Confidence technical leader
Ability to work effectively with global, virtual teams , specifically including leveraging of tools and artifacts to assure clear and efficient collaboration across time zones
ability to manage multiple priorities successfully
Team-oriented, with a focus on achieving team goals
Strong problem solving, analytical skills;
Ability to learn quickly and retain and synthesize complex information from diverse sources
