✅ Job Title: Data Build-Out Team – Data Analyst / Sr. Data Engineer / Lead Data Architect ✅ Location: Remote (Must work EST hours) ✅ Start Date: ASAP ✅ Duration: 6+ Months Contract ✅ Job Description: We are seeking highly skilled professionals across levels—Data Analysts, Senior Data Engineers, and Lead Data Architects—to join a critical data build-out project focused on enabling scalable, high-performance retail data analytics platforms. Candidates must have a strong foundation in SQL, Python, and Google Cloud Platform (GCP) tools including BigQuery, Dataflow, and Composer. Experience working in clean rooms and retail media analytics is highly desirable. Familiarity with Databricks, Kafka, or campaign reporting tools is a strong plus. ✅ Key Responsibilities: • Design, build, and maintain scalable data pipelines and data workflows using GCP tools (BigQuery, Dataflow, Composer). • Perform in-depth data analysis using Python and SQL. • Collaborate with cross-functional teams to deliver insights for retail media analytics use cases. • Ensure data quality, integrity, and security across all solutions. • Support data integrations across clean room environments and retail marketing platforms. • Mentor junior data team members (for senior and lead roles). • Translate business needs into data architecture and analytics strategies. ✅ Required Skills: • 6–8 years of hands-on experience in data engineering, data analytics, or related roles. • Proficiency in SQL and Python. • Experience working with Google Cloud Platform (GCP) tools, especially BigQuery, Dataflow, and Composer. • Understanding of or exposure to clean rooms and retail media analytics. ✅ Bonus Skills (Preferred, Not Required): • Experience with Databricks or Kafka. • Familiarity with campaign performance and marketing analytics tools. • Prior experience in retail, e-commerce, or ad tech domains.