4 days ago
Westlake, TX, USAStaff+
Responsibilities
- Lead architecture decisions for database scalability, resiliency, multi-tenancy, disaster recovery, and cloud-native data platform modernization.
- Design enterprise-scale data architectures for transactional, operational, analytical, and simulation workloads.
- Develop scalable database designs using partitioning, sharding, tenant isolation, workload distribution, and data lifecycle management.
- Design highly available database topologies using cross-availability-zone and cross-region replication, failover, disaster recovery, active-active, and active-passive architectures.
- Design and implement enterprise-scale data solutions on Azure and/or AWS.
- Evaluate, prototype, and adopt emerging data technologies and platforms.
- Apply data modeling, ETL, change data capture, replication, event-driven architecture, streaming, and real-time synchronization patterns.
- Develop and optimize SQL and Python solutions, including indexing, query optimization, performance tuning, observability, and troubleshooting.
- Collaborate with business, architecture, and technology organizations and provide strong technical leadership.
Requirements
- 10+ years of experience architecting, scaling, and modernizing data platforms for mission-critical workloads, including petabyte-scale data and 24x7 availability.
- Proven experience leading architecture decisions for database scalability, resiliency, multi-tenancy, disaster recovery, and cloud-native modernization.
- Extensive experience designing enterprise-scale data architectures and highly available database deployment topologies.
- Expertise in database design patterns including partitioning, sharding, tenant isolation, workload distribution, and data lifecycle management.
- Strong hands-on database development experience with one or more of Oracle, PostgreSQL, Snowflake, and NoSQL databases.
- Strong programming skills in SQL and Python.
- Deep understanding of 3NF, dimensional, canonical, domain-driven, and simulation-oriented data models.
- Experience with ETL tools, change data capture, replication, event-driven architectures, streaming technologies, and real-time data synchronization.
- Desired Oracle expertise including Oracle RAC, Data Guard, GoldenGate, Multitenant Architecture, Oracle Partitioning, performance tuning, backup and recovery, and highly available database deployment.
- Good-to-have experience applying AI and Generative AI to data modernization and legacy transformation, including metadata extraction, schema mapping, lineage analysis, business-rule discovery, and migration validation.
- Familiarity with vector databases, semantic search, Retrieval-Augmented Generation, and AI-native data architectures.
- Bachelor’s or master’s degree in Computer Science, Engineering, Information Systems, or a related field.
Benefits
- Fidelity is transitioning toward a full-time onsite working model through a phased rollout; onsite requirements vary by region and role and may evolve.
- The transition does not apply to fully remote roles.
Tech Stack
Categories
Data Engineering
About Fidelity
Fidelity Investments provides brokerage, retirement plan recordkeeping, wealth management, and asset management services to individuals, employers, advisors, and institutions, plus online trading platforms and mutual funds and ETFs. It earns fees from managing and administering assets, advisory services, and brokerage transactions. Founded in 1946 and headquartered in Boston, it is privately held and administers trillions of dollars for U.S. and global customers.