Lead Data Analyst (Engineer) jobs in United States
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Synovus · 1 week ago

Lead Data Analyst (Engineer)

Synovus is looking for a Lead Data Engineer to join their Corporate Data Technology Team. This role involves designing and implementing scalable data frameworks, developing production code, and collaborating with stakeholders to ensure effective data solutions that support the company's business objectives.

BankingFinanceFinancial Services
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H1B Sponsor Likelynote

Responsibilities

Design and implement scalable data frameworks to manage end-to-end data pipelines for workforce data analytics
Develop secure, high-quality production code and data pipelines on Databricks, reviewing and debugging processes implemented by others
Identify opportunities to eliminate or automate remediation of recurring issues to improve operational stability of software applications and systems
Lead evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture
Work with business stakeholders to understand requirements and design appropriate solutions, producing architecture and design artifacts for complex applications and implement the right ER Model with right fact and dimension tables
Implement robust monitoring and alerting systems to proactively identify and address data ingestion issues, optimizing performance and throughput
Implement data quality checks and validation processes to ensure accuracy and reliability of data
Design and implement end-to-end data solutions using Databricks Pipelines and Azure Data Lake Storage (ADLS), Azure Databricks
Develop, monitor, and maintain scalable data pipelines to support analytics and data science projects
Understand and perform Data Integrity checks and Data Quality checks. Research and utilize Databricks test suites and make them absorbed into data eco system
Utilize Azure Databricks to perform complex data transformation, aggregation, and machine learning tasks
Assist with designing the architecture and workflow for an Enterprise Data Lakehouse in Databricks who wish to build their own Data Marts
Collaborate with cross-functional teams to translate business needs into technical specifications and data models
Ensure data quality and integrity by implementing best practices and data governance standards
Provide ongoing support and enhancements to existing data structures and reporting environments
Stay current with industry trends and advancements in Databricks data analytics technologies
Leverage AI tools to assist with the creation, maintenance, and updating of comprehensive documentation for all data solutions and processes
Implement and manage source control practices using GIT within Azure DevOps to ensure code integrity and facilitate collaboration. Proficient in DAB deployments
Participate in the development and maintenance of CI/CD pipelines for automated testing and deployment of BI solutions
Each team member is expected to be aware of risk within their functional area. This includes observing all policies, procedures, laws, regulations and risk limits specific to their role. Additionally, they should raise and report known or suspected violations to the appropriate Company authority in a timely fashion
Performs other related duties as required

Qualification

DatabricksData EngineeringAzure Data Lake StorageCI/CD PipelinesPythonData Quality ChecksData GovernanceRelational DatabasesAnalytical SkillsCommunication SkillsMentoring

Required

Bachelor's degree in computer science, information systems, or a related field or an equivalent combination of education and experience
Ten years of experience in Information technology including collecting business requirements related to usage of data, performing data mapping and conducting data quality assessments and developing, utilizing and writing new automation
Understanding of reporting and/or visualization tools (e.g., Tableau, SSRS, SQL Server)
Knowledge of a variety of technologies, data models, and insights across all relevant data sources
Understanding of Governance principles
Understands concepts like data mining, extraction and analysis as it pertains to a specific bank pillar (e.g., Commercial, Retail, Wealth)
Analytical and critical thinking skills
Ability to quickly shift between technology stacks
Ability to mentor and train team members
Strong verbal and written communication skills

Preferred

7+ years of experience in data engineering, including design, application development, testing, and operational stability
Advanced proficiency in data processing frameworks and tools, including Parquet, Iceberg, PySpark, Lambda, Databricks and Azure data services
Proficiency in programming languages such as Python, Java, or Scala for data processing and application development
Extensive hands-on experience with Databricks, including architecting and managing large-scale data pipelines, optimizing Spark jobs, implementing security and governance controls, and automating workflows. Proven ability to leverage Databricks for advanced analytics, data lakehouse architectures, and seamless integration with AWS or other cloud services
Proficiency in automation and continuous delivery methods, utilizing CI/CD pipelines with tools like Git/Bitbucket, Jenkins, automated DAB deployments and version control
Certification on Databricks Data Engineering Associate or Professional
Azure Certifications
Proficiency in relational databases (Oracle or SQL Server and ER Data Modeling)
Skilled in writing Oracle SQL queries utilizing DML, DDL, and PL/SQL

Company

Synovus is a financial services company that provides commercial banking, retail banking, investment, and mortgage services.

H1B Sponsorship

Synovus has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (3)
2024 (3)
2023 (1)
2022 (2)

Funding

Current Stage
Public Company
Total Funding
$1.5B
2025-12-09Post Ipo Debt· $500M
2025-07-24Acquired
2024-10-29Post Ipo Debt· $500M

Leadership Team

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Anne Fortner
Head of Enterprise Credit Risk
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Blake Thrasher
Market President
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Company data provided by crunchbase