Data Architect with Python and PySpark
Cloud Hybrid Technologies, LLC
Responsibilities
- Define and own the data architecture strategy leveraging Azure cloud services (Azure Synapse, Data Factory, Databricks, Data Lake, Cosmos DB, etc.).
- Design, implement, and optimize conceptual, logical, and physical data models to support data warehouse, lakehouse, and transactional systems.
- Partner with business stakeholders, product owners, and engineering teams to translate requirements into scalable architecture.
- Act as a Technical Program Manager (TPM) to oversee planning, execution, and delivery of large-scale data programs, managing dependencies and risks.
- Ensure adherence to data governance, security, compliance, and performance standards.
- Provide architectural guidance for ETL/ELT pipelines, data integrations, and API-driven architectures.
- Collaborate with enterprise architects, cloud engineers, and data scientists to enable advanced analytics and AI/ML workloads.
- Mentor and guide data engineers and modelers in best practices.
- Monitor emerging technologies and propose enhancements to improve scalability and efficiency.
Required Qualifications
- 10+ years of experience in data architecture and engineering, with at least 3+ years in a TPM or leadership capacity.
- Advanced knowledge of data modeling techniques (dimensional, relational, star/snowflake schema, NoSQL).
- Proven experience leading large-scale data programs/projects with cross-functional teams.
- Proficiency in SQL, Python, and/or PySpark for data processing and modeling validation.
- Excellent communication, stakeholder management, and program leadership skills.
Preferred Qualifications
- Experience in BFSI, Wealth Management, or Telecom domains.
- Azure Certifications (Data Engineer Associate, Solutions Architect, or Data Scientist).
- Familiarity with CI/CD pipelines, DevOps practices, and automation for data solutions.
- Knowledge of BI/Analytics tools such as Power BI, Tableau, or Looker.
Cloud Hybrid is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. Cloud Hybrid will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will Cloud Hybrid require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract
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