Senior Data Engineer
Employment Information
Report this job
Job expired or something wrong with this job?
Job Description
Senior Data Engineer at D.A. Davidson optimizing data integrations and migrating legacy structures. Involves cloud architecture and coordination with product teams.
Responsibilities:
- Design, implement and maintain a robust, efficient and compliant application data repository and integration architecture.
- Work with Business and IT stakeholders to assist with data-related technical issues and provide application support.
- Coordinate, direct and oversee the work of third-party engineers through solution design reviews, code reviews and process reviews.
- Identify, design, and implement internal process improvements like, automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability.
- Research and analyze new technologies, methodologies and architectures for viability.
- Build and maintain a service-based architecture for web and mobile applications.
- Work independently within a scrum delivery team, with oversight from domain and enterprise architects, in support of business-critical applications.
- Contribute to the development of frameworks, guidelines, best practices and examples to ensure data structures and integration processes are accurate, compliant and secure.
- Implement telemetry indicators to monitor performance, quality metrics to track accuracy and access controls to ensure compliance.
Requirements:
- Commitment to maintain client confidentiality and data security
- Communicate in a clear and service-oriented manner; use appropriate, professional language and grammar to effectively exchange ideas and information
- Ability to proactively work with both external and internal clients; relate with others in a professional manner to accomplish work responsibilities and objectives
- Ability to maintain regular, predictable attendance
- 7 or more years of Data Engineering experience in an oversight capacity
- Extensive domain-specific experience in the Financial Services industry
- Experience with Microsoft cloud-based technologies in a hybrid architecture
- RDBMS expertise with Microsoft SQL Server (on prem and Azure SQL): advanced T SQL, query design, execution plans, index strategies (clustered/non clustered, filtered, included columns), partitioning, statistics, and concurrency/isolation level
- Data modeling mastery: 3NF normalization, strategic denormalization for read models, star/snowflake schemas, surrogate vs. natural keys, referential integrity, and temporal tables for auditing/history
- Experience performing operational analysis on internal and external data and processes to uncover failure points and identify opportunities for improvement
- Experience designing and implementing API-oriented schemas for web and mobile application performance and optimization
- Holistic awareness of processes supporting data preparation, metadata, dependencies, lineages, compliance and workload management
- Understanding of meta-model and metadata management requirements
- Security and governance experience: RBAC, least privilege, secrets management, PII handling, encryption at rest/in transit, row level security, auditing, and compliance (e.g., SOC2, HIPAA, GDPR)
- Specific skills include:
- Extensive experience with Microsoft Fabric: pipelines, notebooks, Lakehouse/Warehouse concepts, and Medalion architecture
- Experience with Azure DevOps: CI/CD pipelines for AIS and Fabric assets
- ETL/ELT and data movement: SSIS/ADF/Azure Data Factory or modern pipelines (dbt, Airflow), CDC/change tracking, bulk load (BCP, BULK INSERT), and data quality checks Experience designing metadata-driven and reusable integration patterns
- Experience with API Management (APIM): API design, security (OAuth/JWT), policies, and versioning
- Experience in reverse-engineering, refactoring and migrating legacy applications
- Experience with Service Bus / Event Grid design patterns: asynchronous and event-driven integrations
- Experience with scripting languages such as: Python
- Experience with MDM concepts (golden record, survivorship, matching, data quality)
Benefits:
- Medical, Dental and Vision
- Company 401(k)and ESOP contribution
- Generous sick, vacation, and maternity/parental leave
- Paid holidays
- Professional Development Opportunities
- Tuition Reimbursement ($15,000 lifetime cap)
- Discounted personal insurance including home, auto and recreational vehicles
- Charitable gift-matching program
- Davidson Day of Giving – Our tradition of positively impacting communities in which we live and work.
Similar Jobs
Data Architect
Data Architect evaluating and evolving data architecture for partners at EVT. Focus on ingestion, processing, and structuring of data with a collaborative team environment.
Data Engineer
Data Engineer responsible for designing, building, and maintaining data pipelines at Loopback Health. Collaborating with cross-functional teams to drive system and process improvements.
Data Engineer
Data Engineer optimizing and maintaining data pipelines in Blackline Safety's IoT-enabled safety ecosystem. Collaborating with product, engineering, and analytics teams on impactful data-driven initiatives.
Senior Ingeniero de Datos
Senior Data Engineer developing data solutions for transforming lives at Sofka. Collaborating in a close-knit team focused on continuous improvement and technical excellence.
Senior Data Engineer
Senior Data Engineer at Arsipa developing scalable data platforms and ETL/ELT pipelines. Collaboration with teams to ensure data quality, performance, and innovation in data architecture.
Data Engineer
Data Engineer shaping cloud-based data solutions for top U.S. companies. Engage with diverse projects remotely from Latin America.
Senior Data Engineer
Senior Technical Consultant delivering end-to-end data solutions and managing client relationships. Collaborating with technical team to drive project success with Microsoft technologies.
Senior Data Engineer – Data for Products
Lead the design and implementation of scalable batch and streaming data pipelines on Azure. Collaborate with product teams to ensure data quality, performance, and governance across the data lifecycle.
Data Engineer
Data Engineer maintaining scalable data pipelines for an international company in Hamburg. Requires experience with Snowflake, ETL processes and Azure Data Factory.
IS Data Warehouse Architect – III
Data Warehouse Architect designing and developing data models and ETL specifications. Collaborating on data architecture and vendor relations for a nonprofit health care organization.
Senior Director – Data Platform, Analytics
Leading the development of an integrated data platform at Harbor Compliance. Unifying fragmented data and establishing governance to empower decision-making.
Data Architect
Professional Services Delivery Architect at Ciena guiding global delivery teams and ensuring high-quality outcomes for customer engagements. Leading complex transformations and influencing solution strategy.
Distinguished Architect, Data Platform
Distinguished Architect leading the design of a next-generation data platform at CloudZero. Driving technical decisions and architectural innovations for scalable cloud cost management solutions.
Senior Data Engineer
Data Engineer designing and maintaining data pipelines for Arrow Electronics. Collaborating with teams in engineering and architecture discussions across global projects.
Data Engineer – AI, Spark, Databricks, Healthcare
Data Engineer managing advanced Spark scripts for data validation and integration at Cotiviti. Collaborating with engineering teams to ensure data integrity and compliance in healthcare data processes.
Senior Software Engineer, Data Platform Team
Senior Software Engineer designing and developing features for data platforms at Sysdig. Leading technical strategy and mentoring teams in cloud security innovations.
Data Engineering Architect – Manager
Data Engineering Architect managing scalable AWS Data Lakehouse architectures at Naveera Technology. Overseeing data engineering projects with a focus on analytics and reporting solutions.
AI Data Engineer
AI Data Engineer bridging data warehousing and AI-driven analytics capabilities. Collaborating on automated solutions and operational workflows in eCommerce with global brands.
AI Data Engineer
AI Data Engineer at Netwrix designing and building enterprise-grade data and AI platforms. Focused on stability and repeatability while adhering to security and governance standards.
Mid-level Data Cloud Developer – Data Engineer
Data Cloud Developer building cloud data platforms to support business decisions. Collaborating with tech teams to implement data solutions with a focus on quality and performance.