Senior Data Engineer - Cloud Data Platform
About The Position
As a Senior Data Engineer supporting the Cloud Data Platform, you will shape scalable, high-performing data solutions that enable business intelligence and strategic decision-making across the organization. You will design, develop, and deliver modern data pipelines and cloud-based data architectures for batch, near real-time, and real-time data processing. You will partner with business stakeholders to translate strategic objectives into technical solutions and collaborate with architects to define patterns that address functional and non-functional requirements. You will assess and introduce tools and technologies, lead proof-of-concept efforts, and recommend improvements to the enterprise data ecosystem. Working with engineering teams, product vendors, and global delivery partners, you will support the stability, scalability, and performance of data platforms, address delivery risks, and implement solutions that maintain momentum. You will contribute to planning, estimation, and prioritization of technical initiatives and establish standards, best practices, and governance for data engineering and development processes. You will drive data modeling, ETL development, performance tuning, and system optimization in alignment with enterprise architecture and development methodologies. As a senior contributor, you will mentor team members, provide hands-on technical leadership, and promote continuous improvement, collaboration, and innovation. The role’s work supports the organization’s use of data as a strategic asset to improve decision-making, operational efficiency, and business outcomes. The position is intended to be performed onsite in the specified location(s).
Requirements
- Bachelor’s degree in Computer Science, Information Technology, or a related field.
- 10+ years of experience in ETL development, database engineering, and data platform support.
- 8+ years of hands-on experience with Informatica PowerCenter.
- 3+ years of experience with Informatica Intelligent Cloud Services (IICS) / IDMC.
- 3+ years of experience with Control-M or similar workload automation tools.
- 3+ years of experience working with Google Cloud Platform (GCS, BigQuery).
- Strong expertise in SQL, relational databases, and data modeling concepts.
- Experience with Python, Perl, or other scripting languages for data processing and automation.
- Knowledge of data warehousing concepts and cloud-based architecture patterns supporting batch and real-time data processing.
- Experience with Agile development practices and tools such as Jira.
- Familiarity with source control, DevOps practices, and CI/CD pipelines (e.g., Git, Jenkins, Bamboo, Concourse).
- Strong analytical, problem-solving, and critical-thinking skills, including the ability to interpret and work with complex data sets.
- Effective communication and collaboration skills, including experience working across cross-functional and distributed teams.
Nice To Haves
- Experience in financial services or highly regulated industries.
- Experience collaborating directly with vendors such as Informatica or Google to troubleshoot and resolve platform issues.
- Ability to interpret trends, metrics, and data insights to inform business and technical decisions.
Responsibilities
- Design, develop, and deliver data pipelines and cloud-based data architectures for batch, near real-time, and real-time processing.
- Translate business stakeholders’ strategic objectives into technical solutions and collaborate with architects on architecture patterns.
- Evaluate and introduce tools and technologies, lead proof-of-concept efforts, and recommend enterprise data ecosystem improvements.
- Work with engineering teams, vendors, and global delivery partners to maintain data platform stability, scalability, and performance.
- Proactively address delivery risks and implement solutions to maintain progress.
- Contribute to planning, estimation, and prioritization of technical initiatives.
- Establish standards, best practices, and governance for data engineering and development processes.
- Drive data modeling, ETL development, performance tuning, and system optimization in alignment with enterprise architecture and development methodologies.
- Mentor team members, provide hands-on technical leadership, and foster continuous improvement, collaboration, and innovation.
Benefits
- Eligible for bonus or incentive opportunities.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
