200+ applicants

Company

Scribd, Inc. · 12 hours ago

Data Architect/Principal Data Engineer

United States

Full-time

Remote

Senior Level

$192K/yr - $282K/yr

7+ years exp

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Responsibilities

Lead the design and development of a robust data architecture that guides data modeling, integration, processing, and delivery standards enabling modern data product development at Scribd.

Serve as a data and analytics solution architect, leading architecture initiatives encompassing data warehousing, data pipeline development, data integrations, and data modeling.

Shape Scribd’s data strategy, guiding stakeholders in how they consume and act on data.

Establish standards for data modeling, integration, processing, and delivery.

Translate business requirements into technical specifications.

Work cross-functionally with Data Science, Analytics, and other Engineering and Business teams to design cohesive data models, database schemas and data storage solutions, consumption strategies and patterns.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Data architectureData modelingData engineeringSQL proficiencyETL processesData lake technologiesStreaming platformsAWS servicesCI/CD toolingCollaboration toolsBI frameworksScalaPython

Required

7+ years of experience in data engineering, with a strong background in data architecture, data modeling, and data management, building and scaling robust data systems for complex business domains.

Expertise in Scala or Python, with a deep understanding and hands-on experience in Spark for designing, optimizing, and scaling large-scale data processing pipelines, and proficiency in at least one SQL dialect.

Experience with data lake technologies (e.g., Databricks, Delta Lake), data storage formats (Parquet, Avro), query engines (such as Photon, Spark SQL), and both real-time streaming and batch processing, or equivalent technologies and frameworks.

Preferred

Experience and working knowledge of streaming platforms, typically based around Kafka.

Strong grasp of AWS data platform services and their strengths/weaknesses.

Hands on experience in implementing data pipelines for data ingestion and transformation to support analytics and ML pipelines.

Strong experience communicating asynchronously using collaboration tools like Jira, Slack, etc.

Experience using automation and CI/CD tooling like Git, GitHub, Docker, Jenkins, Terraform, etc.

Experience developing standards for database design and implementation of various strategic data architecture initiatives around data quality, data management policies/standards, data governance, privacy and metadata management.

Working experience integrating with BI frameworks like Qlik, ThoughtSpot, Looker, Tableau, etc.

Benefits

Healthcare Insurance Coverage (Medical/Dental/Vision): 100% paid for employees

12 weeks paid parental leave

Short-term/long-term disability plans

401k/RSP matching

Tuition Reimbursement

Learning & Development programs

Quarterly stipend for Wellness, Connectivity & Comfort

Mental Health support & resources

Free subscription to Scribd + gift memberships for friends & family

Referral Bonuses

Book Benefit

Sabbaticals

Company wide events

Team engagement budgets

Vacation & Personal Days

Paid Holidays (+ winter break)

Flexible Sick Time

Volunteer Day

Company-wide Diversity, Equity, & Inclusion programs

Company

Scribd, Inc.

Glassdoor

2.6

Scribd, Inc. makes knowledge and information accessible to everyone across three unique products: Everand™, Scribd®, and SlideShare®.

Founded in 2007

San Francisco, California, USA

201-500 employees

http://www.scribd.com

H1B Sponsorship

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2023 (8)

2022 (3)

2021 (5)

2020 (20)