Staff Data Platform Engineer

🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $225.3k / year

⏰ Full Time

🔴 Lead

🚰 Data Engineer

👻 Ghost score 2%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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murmuration

WebsiteLinkedInAll Job Openings

11 - 50 employees

💼 Consulting

📣 Marketing

🌍 Social Impact

Consulting • Marketing • Social Impact

Murmuration is an organization that amplifies the power of civic engagement with data, tools, and research specifically designed for community-focused organizations. It believes that these organizations can drive significant change and create healthier, more equitable communities through collective action. Murmuration provides high-quality tech and data that enables these organizations to connect with and mobilize individuals effectively, ensuring that the voices of all community members are heard. Its offerings include a platform for organizing, enriched datasets, and actionable insights, all aimed at fostering meaningful connections within communities and driving transformative change.

📋 Description

• Build reusable, opinionated paved roads across engineering • Work across all engineering teams and report to a Director of Software Engineering • Define guidelines and processes for data access and storage • Champion best practices and lead by example • Build reusable infrastructure as code to reduce friction and increase engineering capability • Create reusable IaC to manage database resources • Secure databases by automating provisioning of human and system users • Integrate operational monitoring with application and end-to-end data flow monitoring • Optimize database runtimes • Design, implement, and test logical and physical database backup and recovery schemes aligned with disaster recovery and business continuity objectives • Review and recommend the best data store for applications • Evaluate the database ecosystem and refine the Data North Star • Evaluate tools and services and balance power, extensibility, training, and operational effort • Help teams model data schemas • Review data access libraries and access patterns • Build plug-and-play cloud database infrastructure with embedded best practices • Improve existing codebases, reinforce secure coding, identify vulnerabilities, and prioritize data privacy and access control • Reduce technical debt and improve system quality • Establish best practices for schemas, data sharing, and data access layers • Raise the organization’s technical bar through documentation, reference implementations, advocacy, and role modeling • Mentor senior engineers and emerging technical leads • Lead technical discussions and drive design consensus • Champion secure data practices across the product • Build trust and demonstrate kindness, empathy, optimism, curiosity, and vulnerability

🎯 Requirements

• Deep, hands-on expertise across critical technical domains, with proven ability to lead system design, architectural patterns, and engineering best practices • Ability to choose tools based on functional coverage and total cost of ownership • Ability to reason across No-SQL versus relational stores and transactional versus analytic data architectures • Ability to design long-term architectures considering scale, reliability, security, and maintainability • Ability to communicate and defend well-reasoned technical solutions through written documentation • Experience identifying and prioritizing technical debt, defining test strategy, and evaluating technical risk • Skill at debugging complex problems at any level of the stack • Proven ability to lead technical strategy and execution for significant initiatives spanning multiple teams or systems • Experience aligning objectives with division and organizational goals • Experience estimating large cross-team projects with significant unknowns and creating mitigation plans • Ability to multiply engineering effectiveness through technical leadership, tooling, infrastructure, and process improvements • Technical leadership across multiple teams without direct management responsibilities • Proven track record mentoring senior engineers and developing future technical leaders • Ability to represent engineering in cross-functional discussions with technical and non-technical stakeholders • 10+ years of professional software engineering experience with demonstrated data specialization and production delivery across transactional and analytic scenarios • Experience driving secure coding practices, data privacy principles, and access control patterns in production systems • Test-driven mindset and experience writing, maintaining, and driving test strategy at team or product level • Effective collaboration with product, data science, and R&D teams • Experience using AI as a daily assistant, with judgment about when and where to use it • Expert-level experience with No-SQL, relational, and columnar data stores, including Mongo, DynamoDB, PostgreSQL, and Snowflake • Expert-level SQL and No-SQL proficiency, schema design, migrations, and read/write performance optimization • Deep data design skills including No-SQL collections and indexing, relational normalization, and data warehousing facts and dimensions • Experience with dbt or similar transformation tools • Experience with data replication and CDC tools such as Kafka source connectors, DMS, or Airbyte • Experience with Dagster or Airflow and pipeline scheduling, dependency management, and reliability • Experience with streaming data pipelines such as Flink • Working knowledge of time series data modeling • Working knowledge of geospatial data modeling and usage • Deep experience with cloud-native architectures, distributed systems, and production-grade software at scale • Production experience with AWS compute, storage, and observability services • Proficiency with infrastructure-as-code tools such as CDK, SAM, Serverless Framework, or Terraform • Working knowledge of deployment pipelines such as GitHub Actions or Bitbucket Pipelines • Direct experience with observability tooling such as CloudWatch, Datadog, New Relic, Prometheus, or Grafana

🏖️ Benefits

• Health, vision, and dental insurance with 100% of premiums covered for you and qualifying family members • Retirement benefits with a 5% employer match • A flexible unlimited PTO plan • Generous paid parental leave • Pre-tax commuter benefits • A company laptop • A flexible remote work environment • A home office setup stipend for all new employees • Monthly reimbursement for remote work expenses • A yearly professional development fund • Mental health and wellness benefits through Calm and Better Help • Yearly in-person staff retreats • A welcoming culture that celebrates diversity, equity, inclusion, and belonging