Senior Data Engineer - Cloud Data Platform
About The Position
As a Senior Data Engineer supporting the Cloud Data Platform, you will play a critical role in shaping scalable, high-performing data solutions that enable business intelligence and strategic decision-making across the organization. This role is responsible for designing, developing, and delivering modern data pipelines and cloud-based data architectures that support batch, near real-time, and real-time data processing. You will partner closely with business stakeholders to translate strategic objectives into technical solutions, collaborating with architects to define architecture patterns that meet both functional and non-functional requirements. You will evaluate and introduce new tools and technologies, lead proof-of-concept efforts, and recommend improvements to enhance the enterprise data ecosystem. Working cross-functionally with engineering teams, product vendors, and global delivery partners, you will ensure the stability, scalability, and performance of data platforms while proactively addressing delivery risks and implementing solutions to maintain momentum. In this role, you will contribute to planning, estimation, and prioritization of technical initiatives while establishing standards, best practices, and governance for data engineering and development processes. You will drive data modeling, ETL development, performance tuning, and system optimization efforts, ensuring alignment with enterprise architecture and development methodologies. As a senior contributor, you will mentor team members, provide hands-on technical leadership, and foster a culture of continuous improvement, collaboration, and innovation. Your work will directly impact the organization’s ability to leverage data as a strategic asset, improving decision-making, operational efficiency, and business outcomes.
Requirements
- Bachelor’s degree in Computer Science, Information Technology, or 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 with the ability to interpret and work with complex data sets
- Effective communication and collaboration skills, with 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
- Designing, developing, and delivering modern data pipelines and cloud-based data architectures that support batch, near real-time, and real-time data processing.
- Partnering closely with business stakeholders to translate strategic objectives into technical solutions.
- Collaborating with architects to define architecture patterns that meet both functional and non-functional requirements.
- Evaluating and introducing new tools and technologies.
- Leading proof-of-concept efforts.
- Recommending improvements to enhance the enterprise data ecosystem.
- Ensuring the stability, scalability, and performance of data platforms while proactively addressing delivery risks and implementing solutions to maintain momentum.
- Contributing to planning, estimation, and prioritization of technical initiatives.
- Establishing standards, best practices, and governance for data engineering and development processes.
- Driving data modeling, ETL development, performance tuning, and system optimization efforts.
- Mentoring team members.
- Providing hands-on technical leadership.
- Fostering a culture of continuous improvement, collaboration, and innovation.
Benefits
- bonus or incentive opportunities
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What This Job Offers
Job Type
Full-time
Career Level
Senior
