Salesforce Developer

CI/CD On Prem PySpark DataOps Big Data BigQuery Pipelines Operations Leadership Management Automation Mentorship User Story Databricks Scalability Data Quality Communication Collaboration Data Pipelines Self-Motivation Microsoft Azure Team Leadership Data Processing Computer Science Data Integration Product Roadmaps Data Warehousing Data Engineering Project Delivery Agile Methodology Data Architecture Strategic Planning Business Valuation Financial Services Workflow Management Development Testing Business Objectives Business Priorities Amazon Web Services Data Infrastructure Technical Leadership Technology Ecosystems Cloud-Native Computing Full Stack Development Artificial Intelligence Application Development Business Transformation Cloud-Native Development SQL (Programming Language) Snowflake (Data Warehouse) Extract Transform Load (ETL) Python (Programming Language) Management Information Systems Troubleshooting (Problem Solving), The First Vice President of Data Engineering will be responsible for managing various key data implementations across the organization and providing people and technology leadership. The First Vice President will perform data architecture analysis, design, development and testing to deliver data applications, services, interfaces, ETL processes, reporting and other workflow and management initiatives. This role requires a highly motivated individual with strong leadership capability, technical ability, data capability, excellent communication, and collaboration skills including the ability to develop and troubleshoot a diverse range of problems., * Head the development and delivery of enterprise scale mission critical data platforms, i.e. Databricks Lakehouse, GCP services, to meet critical business priorities

• Establish the roadmap and vision for enterprise scale data engineering, executes on this roadmap to deliver shared frameworks for the broader enterprise application development teams

• Build technical excellence by defining and implementing robust data engineering standards and quality frameworks that govern data pipeline development, testing, and deployment across the data platform

• Establish, enforce, and champion modern DataOps and CI/CD practices within the team. Lead the automation of deployment, testing, and monitoring to accelerate delivery speed and ensure data quality

• Provides technical leadership and hands-on guidance to the Data Engineering team to ensure timely and high-quality project delivery and enhancements Mentor engineers in advanced PySpark, SQL, dbt, Fivetran and cloud-native development to maximize team output

• Collaborates with multiple teams, understands the overall enterprise Data Architecture, and develops the end-to-end solutions for data sourcing, data processing/integration, data provisioning and delivery

• Delivers projects to successful completion as defined by predetermined project success criteria including those established by the business, ensuring that projects are delivered on time and within budget

• Focus on designing and developing highly scalable, efficient, and reliable data infrastructure to scale and compute to meet business objectives

• Lead, coach, and develop team, while creating a vision for team and educating cross-functional teams on how to leverage data to identify opportunities to increase revenue and performance

• Drives IT solutions to ensure they meet business needs balanced with a pragmatic and integrated approach to the design of technical solutions

• Remains up to date on key technology, business, and industry trends

• Performs other duties and responsibilities as assigned, Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of our hiring process, including sourcing, screening, and evaluating candidates. AI helps assess applications and qualifications, but final decisions are made by our hiring team. By applying, you acknowledge and agree that your application may be reviewed using AI tools. Related Jobs Product Manager TEKsystems San Diego, CA*On-Site NoSQL CI/CD On Prem PySpark DataOps Big Data BigQuery Pipelines Operations Leadership Management Automation Mentorship User Story Databricks Scalability Data Quality Communication Collaboration Data Pipelines Self-Motivation Microsoft Azure Team Leadership Data Processing Computer Science Data Integration Product Roadmaps Data Warehousing Data Engineering Project Delivery Agile Methodology Data Architecture Strategic Planning Business Valuation Financial Services Workflow Management Development Testing Business Objectives Business Priorities Amazon Web Services Data Infrastructure Technical Leadership Technology Ecosystems Cloud-Native Computing Full Stack Development Artificial Intelligence Application Development Business Transformation Cloud-Native Development SQL (Programming Language) Snowflake (Data Warehouse) Extract Transform Load (ETL) Python (Programming Language) Management Information Systems Troubleshooting (Problem Solving) +0

Google Project Management

• Bachelor’s degree in computer science, MIS or related degree

• 10+ years’ experience managing Data Engineering and leading Technology Teams

• 7+ years’ working with SQL Server and other DB management systems with Cloud and on-PREM data ecosystems

• 7+ years’ working with cloud-native data ecosystems (GCP, Azure, AWS) with deep experience in Cloud Data Warehouses (e.g., BigQuery, Snowflake, Databricks), exposure to various database types (SQL and NoSQL) and on-prem databases including SQL Server

• Expertise in Databricks and the Spark ecosystem, including designing and optimizing pipelines using PySpark, implementing the moder data architecture and strong hands-on experience

• Advanced level experience with Python and PySpark (for data processing), advanced SQL, and modern ELT/ETL tools (e.g., Fivetran and dbt).Strong experience with a breadth of Data Integration tools, Databases, Big Data Platforms, Cloud based data platforms and Data Streaming technologies

• Experience leading technical teams (e.g., Data Engineers, Tech Leads), including mentoring, project oversight, and setting technical direction

• Strong experience with breadth of Data Integration tools, Databases, Big Data Platforms, Cloud based data platforms and Data Streaming technologies

• Expertise within Data Architecture and most importantly deep understanding of the overall Data in an enterprise and ability to understand Data in the context of Business goals

• Proficient in building from the ground up a modern next generation Lakehouse platform

• Experience in enterprise implementation, leadership experience, strategic planning, strong business acumen

Preferred:

• Financial Services experience

Skills

product management, agile, product roadmap, user stories, scrum

Top Skills Details

product management,agile,product roadmap,user stories,scrum

About the Financial Services Company

Born digital in 2000, this is a financial institution that believes money should work smarter for individuals, businesses, and institutions. We don’t see boundaries between banking, investing, clearing, or custody-we see opportunities to connect, to unify, to reimagine what’s possible. Because clients don’t need multiple providers, they need this bank. One firm. Many ways forward. Banking Evolved.

Want to shape the future of financial services with us?, We’re partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change. That’s the power of true partnership. TEKsystems is an Allegis Group company., We’re a leading provider of business and technology services. We accelerate business transformation for our customers. Our expertise in strategy, design, execution and operations unlocks business value through a range of solutions. We’re a team of 80,000 strong, working with over 6,000 customers, including 80% of the Fortune 500 across North America, Europe and Asia, who partner with us for our scale, full-stack capabilities and speed. We’re strategic thinkers, hands-on collaborators, helping customers capitalize on change and master the momentum of technology. We’re building tomorrow by delivering business outcomes and making positive impacts in our global communities. TEKsystems and TEKsystems Global Services are Allegis Group companies. Learn more at TEKsystems.com.