Remote - Data Engineering Manager (Data Warehouse)

Summary 

This is an exciting opportunity for an experienced data engineering leader for one of the leading FinTech company of US - #1 in Debit cards in retail (US). Our mission is to deliver trusted, best-in-class money management & payment solutions to our customers & partners, seamlessly connecting people to their money. You will build and lead an engineering team delivering a transformative next-gen data platform that enables faster, secure & efficient data solutions. 

The ideal candidate will have a proven track record in implementing next-gen cloud data solutions and transformation data pipelines for large scale organizations “cloud-first” mindset. We are seeking someone with deep technical skills in a variety of data warehouse and data management related technologies to play an important role in developing and delivering early proofs of concept and production. The successful candidate will have hands-on experience in a multitude of data domains; including, but not limited to; enterprise and cloud database infrastructure design and management, security, database design, database development, database tuning, service delivery, incident tracking, and change management. The candidate will lead and supervise a small team of data engineers to support both new implementations in addition to supporting existing applications. 

Responsibilities 

• Architect and design enterprise-wide data strategy for data modeling, data pipelines, and data integrations across various environments and technology stacks 

• Bring a thought leadership through understanding the key business objectives and strategically providing data integration solutions to support various data domains 

• Builds a robust data engineering and architecture practice, dedicating time to mentoring and training data engineers within the team and helps spread the knowledge across the organization 

• Designing and implementing performant cloud data warehouse platforms (AWS Redshift, Azure Databricks, Snowflake, or similar) 

• Developing and maintaining data pipelines using cloud-based tools (Informatica, Azure Data Factory, Databricks etc.) 

• Developing performant data movement pipelines using real-time event data streams (Apache Kafka, Azure Event Hub, AWS Kinesis, Pulsar, etc.) 

• Ensures database features and capabilities are incorporated into data model designs to optimize performance, resiliency, and scalability 

• Delivering and presenting proofs of concept to of key technology components to project stakeholders and internal technology leaders 

• Developing the data architecture and governance models for systems of engagement and provides the framework for integrating source systems with the transactional databases and/or data warehouses; Ensuring data architectural designs are consistent, maintainable, flexible, extensible, and cost effective 

• Ensuring data security and privacy standards are implemented including- role based security, encryption, tokenization, and obfuscation 

• Perform problem-solving of application issues and production errors, including high level critical production issues that require immediate attention 

Qualifications 

• Bachelor’s and/or master’s degree in computer science, Computer Engineering, or related field preferred 

• 10+ years of overall software development experience required 

• 8+ years of experience in a data engineering development and architecture role 

• 4+ years of experience in designing, developing, and deploying cloud-based solutions which leverage cloud provided platforms (Azure / AWS) 

• 3+ years of hands-on development experience with cloud-based data warehouse platform (Redshift, Azure Databricks, Snowflake, etc.) 

• 3+ years of hand-on experience with ETL tools (Informatica, Azure Data Factory, etc.) 

• 1+ years of hands-on development experience working with NoSQL DBs (MongoDB, Cassandra, Cosmos DB, Dynamo DB or similar) 

• 1+ years of experience managing direct reports

• Experience designing ETL and ELT pipelines to support Enterprise Data Warehouses and Data Marts, with a strong understanding of data lake, data fabric and semantic layer design concepts 

• Experience with SQL Server / Oracle; proficiency with advanced SQL concepts (T-SQL, PL/SQL, etc.) 

• Excellent programming skills with Python 

• Demonstrated expertise in performance tuning in various data warehouse environments with large volume and velocity of data. 

• Experience working in a Dev/Ops environment with tools such as Azure Dev Ops, Microsoft Visual Studio Team Services, Chef, Puppet or Terraform 

Personal Characteristics: 

• Exceptional leadership, coaching, mentoring, communication, and interpersonal skills - including negotiation, facilitation, and consensus building skills; ability to influence and persuade, without direct control.  

• Ability to balance the long-term "big picture" and short-term implications of decisions. 

• High-energy, positive, entrepreneurial in spirit while goal-oriented and results-driven 

• High degree of flexibility and adaptability to work with employees at all levels of the organization. 

• Inquisitive, analytical, a strategic thinker, proactive and solutions-oriented 

• Self-starter, Well-organized and disciplined with high attention to detail.