About Later (previously Latergramme):
Visual Content Marketing β’ Social Media Management β’ Social Media Marketing β’ Instagram β’ Visual Marketing
51 - 200 employees
Founded 2014
π° Seed Round on 2015-08
March 21
π½ Illinois β Remote
π Massachusetts β Remote
+1 more states
π΅ $200k - $228k / year
β° Full Time
π΄ Lead
π° Data Engineer
π¦ H1B Visa Sponsor
About Later (previously Latergramme):
Visual Content Marketing β’ Social Media Management β’ Social Media Marketing β’ Instagram β’ Visual Marketing
51 - 200 employees
Founded 2014
π° Seed Round on 2015-08
β’ At Later, you will design and scale data platforms, work with teams to shape data strategies, ensure high availability, security, and reliability in processes. β’ Lead design and evolution of scalable data architecture, optimize data pipelines, implement best practices, define data governance policies, ensure data security and compliance, innovate data practices, work closely with stakeholders, develop frameworks, guide and mentor engineers, establish SLAs.
β’ 10+ years of experience in data engineering, software engineering, or related fields. β’ Proven experience leading the technical strategy and execution of large-scale data platforms. β’ Expertise in cloud technologies (Google Cloud Platform, AWS, Azure) with a focus on scalable data solutions (BigQuery, Snowflake, Redshift, etc.). β’ Strong proficiency in SQL, Python, and distributed data processing frameworks (Apache Spark, Flink, Beam, etc.). β’ Extensive experience with streaming data architectures using Kafka, Flink, Pub/Sub, Kinesis, or similar technologies. β’ Expertise in data modeling, schema design, indexing, partitioning, and performance tuning for analytical workloads, including data governance (security, access control, compliance: GDPR, CCPA, SOC 2) β’ Strong experience designing and optimizing scalable, fault-tolerant data pipelines using workflow orchestration tools like Airflow, Dagster, or Dataflow. β’ Ability to lead and influence engineering teams, drive cross-functional projects, and align stakeholders towards a common data vision. β’ Experience mentoring senior and mid-level data engineers to enhance team performance and skill development.
β’ Stock options β’ Participation in various benefits plans
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