Databricks ecosystem consulting and data platform modernization
Lovelytics is a data and analytics consulting firm built around the Databricks ecosystem, with deep bench strength in lakehouse architecture, governance, and cloud migration. The tech stack spans all major clouds (AWS, Azure, GCP) plus purpose-built tools (Fivetran, dbt, Kafka, Snowflake, BigQuery) — indicating broad data-pipeline and ETL expertise rather than single-platform lock-in. Hiring is data-dominant (9 of 15 active roles) and skewing senior, suggesting project work demanding experienced architects; decelerating velocity signals either strong project fill or market headwinds.
Lovelytics provides data architecture, analytics, and consulting services to enterprises modernizing legacy data platforms. The firm operates across the US, Canada, Argentina, Colombia, and Spain, with specialized partnerships around Databricks (backed by Databricks Ventures and Interlock Equity), Microsoft Azure, Google Cloud, and AWS. Current project focus includes real-time processing pipelines, lakehouse implementations, data governance operating models, and M&A support — all anchored to cloud data platform migrations and compliance-at-scale. The specialties list reflects mature consulting practice: BI/visualization (Tableau, Power BI, Looker), metadata management (Atlan, Collibra, Alation), and data quality tooling (Anomalo).
Core: Databricks, AWS, Azure, GCP, Snowflake, dbt, Fivetran. Pipeline: Apache Airflow, Kafka, Apache Spark. BI/viz: Tableau, Power BI, Looker. Governance/metadata: Databricks Unity Catalog, Atlan, Collibra, Alation, Anomalo.
Headquartered in Arlington, Virginia. Active hiring in the United States and Canada across data architecture, engineering, legal, marketing, and sales roles.
Real-time pipeline development, Databricks Unity Catalog deployment, data warehouse modernization, governance operating model setup, ETL/ELT implementations, and M&A data integration support. Current pain points include legacy platform migration, scaling pipelines, data security compliance, and metadata management gaps.
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