Vacancy expired!
Your success is a train ride away!
As we move America's workforce toward the future, Amtrak connects businesses and communities across the country. We employ more than 20,000 diverse, energetic professionals in a variety of career fields throughout the United States. The safety of our passengers, our employees, the public and our operating environment is our priority, and the success of our railroad is due to our employees.Are you ready to join our team?Our values of 'Do the Right Thing, Excel Together and Put Customers First' are at the heart of what matters most to us, and our Core Capabilities, 'Building Trust, Accountability, Effective Communication, Customer Focus, and Proactive Safety & Security' are what every employee needs to know and do to be most impactful at Amtrak. By living the Amtrak values, focusing on our capabilities, and actively embracing and fostering diverse ideas, backgrounds, and perspectives, together we will honor our past and make Amtrak a company of the future.SUMMARY OF DUTIES: The Lead Data Engineer drives data transformation into formats that increase usability and analysis capability, as well as, builds data solutions that adhere to industry standards in data analytics. The Lead Data Engineer is responsible for expanding and optimizing Amtrak's data architecture, as well as optimizing data flow and collection for cross functional teams. This role supports multiple teams concurrently, which often include software developers, database architects, data analysts and data scientists on business initiatives, ensuring an optimal data delivery architecture is consistent throughout ongoing projects. The Lead Data Engineer works on major projects providing subject matter expertise and technical direction and is also responsible for systems analysis, design, development, integration, and enhancement. The position works closely with customers, business analysts and team members to understand the business requirements that drive the analysis and design of quality technical solutions. These solutions must be aligned with business and IT strategies and in compliance with the organization's architectural standards. This role provides technical leadership coaching and mentoring to team members. ESSENTIAL FUNCTIONS:- Drives the data component on projects that may span a broad range of systems.
- Requires expertise in multiple technical environments and possesses an increased level of business knowledge.
- Creates and maintains optimal data pipeline architecture.
- Build processes supporting data transformation, data structures, metadata, dependency, and workload management.
- A successful history of manipulating, processing, and extracting value from large disconnected datasets.
- Working knowledge of message queuing, stream processing, and highly scalable 'big data' data stores.
- Experience with Salesforce's customer data platform(CDP) to capture, unify, segment, and activate customer data"
- Experience with big data tools
- Experience with SQL/NoSQL databases , and data modelling
- Assembles large, complex data sets that meet functional/non-functional business requirements.
- Identifies, designs, and implements internal process improvements, automates manual processes, optimizes data delivery, re-designs infrastructure for greater scalability.
- Builds the infrastructure required for optimal extraction, transformation and loading of data from a wide variety of data sources using Structured Query Language (SQL) and Cloud Big Data technologies.
- Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics.
- Works with stakeholders including the Executive, Product, Data and Design Teams to assist with data-related technical issues and support their data infrastructure needs.
- Creates data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
- Works with data and analytics experts to strive for greater functionality in our data systems.
- Adheres to quality standards and procedures. Reviews modules for quality assurance and checks compliance with application architecture standards and Service Level Agreements.
- Defines data related development guidelines and standards to be utilized in software development/integration.
- Provides ongoing maintenance of applications.
- As the subject matter expert, provides technical guidance or system process expertise.
- Develops reports and presentations for senior management, as needed.
- Bachelor's Degree in Computer Science, Information Systems, Business Management plus 6+ years relevant experience required or 10+ years of relevant work experience
- Extensive experience programming and systems analysis experience.
- Have a broad level of understanding surrounding application architecture standards, data analytics environments and tools that include:
- Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
- Experience building and optimizing 'big data' data pipelines, architectures, and data sets.
- Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
- Strong analytic skills related to working with unstructured data sets.
- Build processes supporting data transformation, data structures, metadata, dependency, and workload management.
- A successful history of manipulating, processing, and extracting value from large disconnected data sets.
- Working knowledge of message queuing, stream processing and highly scalable 'big data' data stores.
- Experience using the following software/tools or equivalence:
- Experience with big data tools
- Experience with SQL/NoSQL databases
- Experience with data pipeline and workflow management tools
- Experience with cloud services
- Experience with stream-processing systems
- Experience with both scripting and general-purpose object-oriented programming languages
- Ability to work well under deadlines and in a flexible environment.
- Must have leadership skills, experience/in-depth knowledge of business operations and systems requirements processes including ability to measure short- and long-term business goals.
- Must possess the ability to utilize adaptable communication skills to effectively translate between technical and business language.
- Must possess the skills to educate project team members on business unit goals and objectives and educate the business on the value of information technology.
- Ability to identify, propose and oversee the execution of business solutions as well as interpret documents communicating business needs and requirements.
- Must possess the skill to assess the client needs through direct interaction and identify opportunities to develop the business through effective use of technology.
- Provides expertise and technical skill, often leads a diverse team, demonstrates ownership of deliverables manages to deadlines and communicates across teams.
- Effectively perform all IT Controls as applicable
- Knowledge of systems of operations in the transportation industry and analytics tools such as Tableau or SAP Business Objects
- 8+ years relevant experience preferred
- Hands on experience with designing, developing, coding and implementing customized solutions within the Salesforce Customer Data platform.
- Experience with implementing Salesforce marketing campaigns/solutions using CDP, C360 and Salesforce Marketing Cloud solutions.
- Experience with AWS integrations and knowledge of integration patterns, third-party integration tools with Salesforce
- Must have excellent oral and written communication skills.
Vacancy expired!