Data Architect

IPG Mediabrands

33d

About The Position

We are seeking an experienced and forward-thinking Solution Architect – Data Engineering to lead the design and implementation of scalable, secure, and high-performance data solutions. The ideal candidate will have deep expertise with Python and SQL, experience with data warehouses (Snowflake or something similar), a strong command of engineering best practices (including linters and code formatters, project organization, and managing environments), and practical experience building CI/CD pipelines to ensure robust, automated delivery of data pipelines and services.

Requirements

• 7+ years of experience in software or data engineering, with 3+ years in an architectural or technical leadership role.
• Expert-level proficiency in Python and SQL, with a deep understanding of best practices, performance tuning, and maintainable code patterns.
• Proven experience with linters, formatters, and other static analysis tools to ensure code quality and compliance.
• Hands-on experience designing and implementing CI/CD pipelines for data pipelines, APIs, and other backend services.
• Solid knowledge of modern data platforms and technologies (e.g., Spark, Airflow, dbt, Kafka, Snowflake, BigQuery, etc.).
• Strong understanding of software engineering practices such as version control, testing, and continuous integration.

Nice To Haves

• Experience working in cloud environments (AWS, GCP, or Azure).
• Familiarity with Infrastructure as Code (IaC) tools like Terraform or CloudFormation.
• Understanding of security, compliance, and governance in data pipelines.
• Excellent communication and documentation skills.
• Strong leadership presence with the ability to mentor and influence teams.
• Problem-solver with a focus on delivering value and simplicity through technology.

Responsibilities

• Architect Scalable Data Solutions
• Design and implement end-to-end data engineering architectures that are scalable, maintainable, and performant across batch and real-time processing systems.
• Engineering Leadership
• Lead by example with high-quality Python code, utilizing linters (e.g., pylint, flake8, black) and enforcing code cleanliness, readability, and best practices across teams.
• CI/CD Pipeline Development
• Build, manage, and optimize CI/CD pipelines using tools such as GitHub Actions, GitLab CI, CircleCI, or Jenkins to automate testing, code quality checks, and deployment of data engineering components.
• Data Governance & Quality
• Establish data validation, logging, and monitoring strategies to ensure data integrity and reliability at scale.
• Collaborate Cross-Functionally
• Work closely with data scientists, software engineers, DevOps, and business stakeholders to translate requirements into technical solutions and ensure alignment with overall enterprise architecture.
• Mentorship & Code Reviews
• Provide guidance to junior developers, lead technical reviews, and enforce clean coding standards throughout the data engineering team.

Benefits

• We offer a Total Rewards package that includes medical and dental coverage, 401(k) plans, flex spending, life insurance, disability, employee discount program, employee stock purchase program and paid family benefits to support you and your family.
• To give you the ability to better meet your personal needs, and in support of your physical and emotional well-being, you will receive discretionary time off days and company-wide Appreciation Weeks and Wellness Days.
• We also offer a competitive Total Compensation package, including a competitive salary and eligibility for an annual discretionary incentive award or a relevant incentive award.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed
• Number of Employees: 5,001-10,000 employees