Skip to main content

Analytics Engineering Manager, Data Platform & Governance

posted by: spj_bot

About LawnStarter

LawnStarter is the nation's leading on-demand marketplace for lawn care and outdoor services, with over $150M in annual bookings. We're expanding beyond lawn care to become the one-stop shop for all home services, operating across three brands (LawnStarter, Lawn Love, Home Gnome) on a single shared platform.

About Analytics at LawnStarter

We're a small, senior analytics team supporting the entire company, product, marketing, operations, and finance all run on the data we serve. The foundation is solid: a centralized Redshift data warehouse where all source data lands, modeled in dbt and orchestrated by Airflow, with Segment feeding event data in. You won't be stitching scattered sources together, the platform exists; your job is to make it trustworthy and keep it that way. We're mid-migration to Lightdash as our single BI platform, replacing Tableau and Metabase.

Here's the honest gap: everyone on the team today is an analyst. Data quality, tracking standards, and platform hygiene get done as side work, squeezed between analyses. Nobody wakes up thinking about them, which is exactly the job we're hiring for.

The Role

Job Skills

color numbers marketplace backlog data pipeline dashboards governance data platform data system manager job description finance redshift event data genetics data governance disability source naming convention dashboard source data investment trustworthy guard lawn care manage map prioritizing governing plan com semantic sql funnels data quality airflow safe m data feeding applicable state anomaly detection source datum automated governed product marketing documented processes gnome machine learning breakage marketing operation writing data warehouse checklist automation access control privacy law write blob collaboration legible build automation impact assessment fix govern accountable live migration tracking prioritization operating prioritized data security event tracking operate hygiene github mapping truth toolkit team leadership tooling tableau analytics debug layer mapped scale workflow triage
View the job post & apply

Analytics Engineering Manager, Data Platform & Governance

posted by: spj_bot

About LawnStarter

LawnStarter is the nation's leading on-demand marketplace for lawn care and outdoor services, with over $150M in annual bookings. We're expanding beyond lawn care to become the one-stop shop for all home services, operating across three brands (LawnStarter, Lawn Love, Home Gnome) on a single shared platform.

About Analytics at LawnStarter

We're a small, senior analytics team supporting the entire company, product, marketing, operations, and finance all run on the data we serve. The foundation is solid: a centralized Redshift data warehouse where all source data lands, modeled in dbt and orchestrated by Airflow, with Segment feeding event data in. You won't be stitching scattered sources together, the platform exists; your job is to make it trustworthy and keep it that way. We're mid-migration to Lightdash as our single BI platform, replacing Tableau and Metabase.

Here's the honest gap: everyone on the team today is an analyst. Data quality, tracking standards, and platform hygiene get done as side work, squeezed between analyses. Nobody wakes up thinking about them, which is exactly the job we're hiring for.

The Role

Job Skills

color numbers marketplace backlog data pipeline dashboards governance data platform data system manager job description finance redshift event data genetics data governance disability source naming convention dashboard source data investment trustworthy guard lawn care manage map prioritizing governing plan com semantic sql funnels data quality airflow safe m data feeding applicable state anomaly detection source datum automated governed product marketing documented processes gnome machine learning breakage marketing operation writing data warehouse checklist automation access control privacy law write blob collaboration legible build automation impact assessment fix govern accountable live migration tracking prioritization operating prioritized data security event tracking operate hygiene github mapping truth toolkit team leadership tooling tableau analytics debug layer mapped scale workflow triage
View the job post & apply

Analytics Engineering Manager, Data Platform & Governance

posted by: spj_bot

About LawnStarter

LawnStarter is the nation's leading on-demand marketplace for lawn care and outdoor services, with over $150M in annual bookings. We're expanding beyond lawn care to become the one-stop shop for all home services, operating across three brands (LawnStarter, Lawn Love, Home Gnome) on a single shared platform.

About Analytics at LawnStarter

We're a small, senior analytics team supporting the entire company, product, marketing, operations, and finance all run on the data we serve. The foundation is solid: a centralized Redshift data warehouse where all source data lands, modeled in dbt and orchestrated by Airflow, with Segment feeding event data in. You won't be stitching scattered sources together, the platform exists; your job is to make it trustworthy and keep it that way. We're mid-migration to Lightdash as our single BI platform, replacing Tableau and Metabase.

Here's the honest gap: everyone on the team today is an analyst. Data quality, tracking standards, and platform hygiene get done as side work, squeezed between analyses. Nobody wakes up thinking about them, which is exactly the job we're hiring for.

The Role

Job Skills

color numbers marketplace backlog data pipeline dashboards governance data platform data system manager job description finance redshift event data genetics data governance disability source naming convention dashboard source data investment trustworthy guard lawn care manage map prioritizing governing plan com semantic sql funnels data quality airflow safe m data feeding applicable state anomaly detection source datum automated governed product marketing documented processes gnome machine learning breakage marketing operation writing data warehouse checklist automation access control privacy law write blob collaboration legible build automation impact assessment fix govern accountable live migration tracking prioritization operating prioritized data security event tracking operate hygiene github mapping truth toolkit team leadership tooling tableau analytics debug layer mapped scale workflow triage
View the job post & apply

Analytics Engineering Manager, Data Platform & Governance

posted by: spj_bot

About LawnStarter

LawnStarter is the nation's leading on-demand marketplace for lawn care and outdoor services, with over $150M in annual bookings. We're expanding beyond lawn care to become the one-stop shop for all home services, operating across three brands (LawnStarter, Lawn Love, Home Gnome) on a single shared platform.

About Analytics at LawnStarter

We're a small, senior analytics team supporting the entire company, product, marketing, operations, and finance all run on the data we serve. The foundation is solid: a centralized Redshift data warehouse where all source data lands, modeled in dbt and orchestrated by Airflow, with Segment feeding event data in. You won't be stitching scattered sources together, the platform exists; your job is to make it trustworthy and keep it that way. We're mid-migration to Lightdash as our single BI platform, replacing Tableau and Metabase.

Here's the honest gap: everyone on the team today is an analyst. Data quality, tracking standards, and platform hygiene get done as side work, squeezed between analyses. Nobody wakes up thinking about them, which is exactly the job we're hiring for.

The Role

Job Skills

color numbers marketplace backlog data pipeline dashboards governance data platform data system manager job description finance redshift event data genetics data governance disability source naming convention dashboard source data investment trustworthy guard lawn care manage map prioritizing governing plan com semantic sql funnels data quality airflow safe m data feeding applicable state anomaly detection source datum automated governed product marketing documented processes gnome machine learning breakage marketing operation writing data warehouse checklist automation access control privacy law write blob collaboration legible build automation impact assessment fix govern accountable live migration tracking prioritization operating prioritized data security event tracking operate hygiene github mapping truth toolkit team leadership tooling tableau analytics debug layer mapped scale workflow triage
View the job post & apply

Data Governance and Platform Manager

posted by: spj_bot

About LawnStarter

LawnStarter is the nation's leading on-demand marketplace for lawn care and outdoor services, with over $150M in annual bookings. We're expanding beyond lawn care to become the one-stop shop for all home services - operating across three brands (LawnStarter, Lawn Love, Home Gnome) on a single shared platform.

About Analytics at LawnStarter

We're a small, senior analytics team supporting the entire company - product, marketing, operations, and finance all run on the data we serve. The foundation is solid: a centralized Redshift data warehouse where all source data lands, modeled in dbt and orchestrated by Airflow, with Segment feeding event data in. You won't be stitching scattered sources together - the platform exists; your job is to make it trustworthy and keep it that way. We're mid-migration to Lightdash as our single BI platform, replacing Tableau and Metabase.

Here's the honest gap: everyone on the team today is an analyst. Data quality, tracking standards, and platform hygiene get done as side work, squeezed between analyses. Nobody wakes up thinking about them - which is exactly the job we're hiring for.

Job Skills

color numbers people management marketplace data pipeline dashboards governance data platform data system manager job description finance redshift event data genetics data governance disability source naming convention dashboard source data guard trustworthy manage lawn care map operator governing plan com semantic funnels sql data quality airflow safe m data feeding applicable state anomaly detection automated governed product marketing documented processes gnome machine learning breakage marketing operation writing data warehouse checklist automation access control privacy law write blob collaboration legible build automation impact assessment fix govern live migration tracking operating data security event tracking operate hygiene github mapping truth toolkit tooling tableau analytics debug layer mapped scale workflow triage execute
View the job post & apply

Senior Data Engineer

posted by: spj_bot

Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best analytics global consulting team in the world.

We are seeking an experienced Data Engineer to join our data team. In this role, you will be responsible for designing, building, and maintaining scalable data pipelines, data integration processes, and data infrastructure on AWS cloud. You will collaborate closely with data scientists, analysts, and AI teams to support analytics, machine learning, and Generative AI initiatives across the organization.

Requirements

Key Responsibilities:

Job Skills

View the job post & apply

Senior Data Engineer

posted by: spj_bot

Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world.

Tiger Analytics is looking for an experienced Data Engineer to design, build, and operate large-scale batch and real-time data pipelines that power enterprise data and analytics platforms.

You will work closely with Agile engineering, architecture, and product teams to build reliable, scalable data solutions spanning data ingestion, transformation, orchestration, event streaming, and downstream data delivery. The ideal candidate is someone who enjoys solving complex data engineering problems and building highly available systems that operate at enterprise scale.

Key Responsibilities:

Job Skills

color leadership enterprise applications data warehouse reliability management credentials agile operate data scalable data engineer GCP design build distribute computing solving complex communication management sql data pipeline cloud native data quality consultants low latency data system scheduling airflow engineering problems problem solve data engineering event driven career development data ingestion python data processing develop applications reliable control m analytics collaboration credential management data science market research EMR cloud platform consulting scalability real time product teams disability service authentication machine learning design solutions enterprise architecture manage workflow scale workflow java real time datum operating transformation engineering architecture
View the job post & apply

Senior Payroll Integrations Specialist | Journey Beyond

posted by: spj_bot

Image removed.

Be a part of sharing special places and shaping lasting memories with Australia’s leading experiential tourism business.

About Journey Beyond

Australia’s leading experiential tourism group, Journey Beyond, is privileged to operate 20 brands spanning the country and New Zealand, connecting guests to the land, and to each other.

Headquartered in Adelaide, Journey Beyond formed in 2016 and now comprises tourism brands including: iconic trains The Ghan, Indian Pacific, Great Southern, The Overland; premium small-group outback operator Outback Spirit; eco-luxury lodge Sal Salis Ningaloo Reef; aquatic adventures Cruise Whitsundays, Rottnest Express, Sailaway Port Douglas, Horizontal Falls Seaplane Adventures, Darwin Harbour Cruises and Journey Beyond Cruise Sydney; our tallest members, Melbourne Skydeck and Eureka 89; the historic Vintage Rail Journeys; The Telegraph Station in Alice Springs; Monarto Safari Resort; Exmouth Dive & Whalesharks Ningaloo, New Zealand coach tour specialist Grand Pacific Tours, and Voyages Tourism Australia.

About the Role

Job Skills

View the job post & apply

Data Governance & Platform Manager

posted by: spj_bot

About LawnStarter

LawnStarter is the nation's leading on-demand marketplace for lawn care and outdoor services, with over $100M in annual bookings. We're expanding beyond lawn care to become the one-stop shop for all home services - operating across three brands (LawnStarter, Lawn Love, Home Gnome) on a single shared platform.

About Analytics at LawnStarter

We're a small, senior analytics team supporting the entire company - product, marketing, operations, and finance all run on the data we serve. The foundation is solid: a centralized Redshift data warehouse where all source data lands, modeled in dbt and orchestrated by Airflow, with Segment feeding event data in. You won't be stitching scattered sources together - the platform exists; your job is to make it trustworthy and keep it that way. We're mid-migration to Lightdash as our single BI platform, replacing Tableau and Metabase.

Here's the honest gap: everyone on the team today is an analyst. Data quality, tracking standards, and platform hygiene get done as side work, squeezed between analyses. Nobody wakes up thinking about them - which is exactly the job we're hiring for.

Job Skills

color numbers people management marketplace data pipeline dashboards governance data platform data system manager job description finance redshift event data genetics data governance disability source naming convention dashboard source data guard trustworthy manage lawn care map operator governing plan com semantic funnels sql data quality airflow safe m data feeding applicable state anomaly detection automated governed product marketing documented processes gnome machine learning breakage marketing operation writing data warehouse checklist automation access control privacy law write blob collaboration legible build automation impact assessment fix govern live migration tracking operating data security event tracking operate hygiene github mapping truth toolkit tooling tableau analytics debug layer mapped scale workflow triage execute
View the job post & apply

Senior Data Engineer - Hybrid - KSA - (10-12 Months) - RTG

posted by: spj_bot

Robusta assists organizations in transitioning to a digital-first approach, crafting unforgettable experiences for their customers. We provide strategy, design, product, and technology services to prominent businesses and brands, utilizing our go-to-market expertise to facilitate seamless customer experiences and enhance conversion rates.

About the Role

We are seeking a highly experienced Senior Data Engineer to lead the technical design, implementation, and delivery of an enterprise-grade, AI-ready Data Lakehouse platform. This role is critical in building the foundational data layer for a large-scale digital transformation initiative that will support AI agents, digital workers, and knowledge graph (ontology) systems.

The ideal candidate will have strong software engineering experience with a focus on data pipeline development, data architecture, and scalable distributed systems. You will play a key role in designing and maintaining robust data infrastructure that enables advanced analytics and AI capabilities.

This position also involves technical leadership, mentoring engineering teams in a collaborative co-building model, and ensuring long-term operational ownership.

Job Skills

optimize data key management data data engineer GCP data optimized communication data pipeline governance hosted circuit breaker AEs data system mongodb role base access control senior engineer data ingestion python integrating data processing software engineering operations engineering systems scala ontology cloud platform management system verbal communication skill e data architecture enterprise environments apache airflow ontologies scalable mysql localized pair programming cybersecurity enterprise network security knowledge graph sql IAM data quality technical design TLS referential integrity operational structured data problem solve cryptographic key conversion rates RBAC manage stakeholder active directory eye technology services automated data science simulations strategy product manage expectations transformation programming languages datum layer track leadership unstructured datum ul access control integration access management data modeling apache spark data infrastructure nosql experience designing natural language processing workflows machine learn hive cassandra ETL tracking semantic reasoning cloud infrastructure network security postgresql customer experience building model system design operate data management big datum distributed systems computer science teams manage analytical skill data engineering long term tools e analytics digital transformation kms system monitoring scalability collaborative processing engines encryption scale java data pipelines relational database
View the job post & apply
Subscribe to data system

SPJ is not just a platform; it's a transformative force in the maritime sector. We reinvent job discovery and collaboration, leveraging cutting-edge AI to create a space where careers thrive and innovations set sail.

Featured Posts