Senior Data Engineer developing and maintaining data pipelines and solutions for EMC's data analytics products. Collaborating with cross - functional teams to ensure high - quality data management and governance practices.
About the role
- Senior Data Architect responsible for optimizing data architecture and supporting data-driven business decisions at TruStage. Leading technical guidance for data architecture and cross-functional team collaboration.
Responsibilities
- The Data Architect II is responsible for designing, managing, and optimizing the organization’s data architecture, ensuring the efficient flow, governance, and utilization of data across multiple platforms.
- Also focuses on building a modern, robust, and scalable data architecture approach, enhancing data strategy and supporting data-driven business decisions.
- Provides technical guidance and mentorship to junior team members and works closely with cross-functional teams to ensure an architectural approach aligned with business goals.
- Establishes the future-state data architecture and blueprints that enable enterprise data needs and ensure that systems are cost and performance optimized.
- Develops and communicates comprehensive data architecture processes, ensuring alignment with enterprise data standards.
- Designs and implements modern data architectures that support cross-functional initiatives, working across business units to address enterprise-wide needs.
- Develops advanced conceptual and logical data models, driving consistency and standardization across data modeling practices.
- Implements and advocates for data management best practices, including storage, integration, and consumption patterns, ensuring all solutions contribute to scalable and reusable data architectures.
- Leads data integration efforts across multiple systems, ensuring the effective integration of data from multiple sources into centralized platforms.
- Collaborates with DevOps and engineering teams to implement data storage and management systems.
- Creates and maintains comprehensive documentation of data architecture, models, and data flows.
Requirements
- Bachelor’s degree in computer science, information systems, or related field, or equivalent combination of education and/or related professional work experience.
- 7+ years of total experience in technology, at least 5 of which are in data architecture, data modeling, database design, or a related field.
- Experience leading complex projects involving data products build, data lake, data warehousing, data modeling, and data analysis in financial services domain.
- Proficiency in the design and implementation of modern data architectures and concepts such as cloud services (Azure, AWS, GCP), real-time data distribution solutions/approach and modern data platform tools (Snowflake, Databricks, etc.).
- Strong proficiency in SQL, NoSQL, and advanced data modeling tools (e.g., ERwin).
- Deep experience with cloud platforms such as MS-Fabric, Azure and Snowflake, and tools like Data Factory, Power BI, Copilot etc.
- Understanding of entity-relationship modeling, metadata systems, and data quality tools and techniques.
- Ability to assess traditional and modern data architecture components, think strategically and relate data architectural decisions and recommendations to consultants, contractors, and internal delivery teams.
- Knowledge of enterprise data governance frameworks and metadata management.
- Excellent communication, presentation, and interpersonal skills.
- Ability to influence and build strong relationships with executive leaders.
- Preferred: relevant certifications (e.g., Certified Data Management Professional, Azure/Fabric Solutions Architect).
Benefits
- medical
- dental
- vision
- employee assistance program
- life insurance
- disability plans
- parental leave
- paid time off
- 401k
- tuition reimbursement
- flexible workplace that allows for work-life balance
- career growth and retirement assistance
- annual incentive (bonus) plan
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