Senior Engineer - Software Engineering

About the Role:

We’re seeking a Senior Data Analytical Engineer to collaborate with our Field Data business-building insightful, interactive reports that inform data-driven decisions and strengthen field performance.

Do you have the right skills and experience for this role Read on to find out, and make your application.

You’ll partner with business and product teams, own end-to-end datasets, lead reporting projects, and mentor offshore and cross-functional engineers.

Technical Overview We operate a high-volume analytics platform (ingesting ~300 GB/day; 3–4 TB persisted) built on Databricks (AWS) + Unity Catalog, Spark, Airflow and Control-M.

Reporting is primarily Power BI (self-serve + embedded) and SSRS (paginated).

Reports are embedded in a React wrapper running on Kubernetes.

This role delivers robust, scalable data products today and evolves them with ML, streaming, and cloud-native best practices.

What You’ll Do:
Demonstrates technical leadership to team.

Establishes, aggregates, and shares team standards and best practices within department.

Utilizes working relationships across teams within their division.

Assesses and provides solutions to system-wide architectural problems.

Lead design, development, and support of end-to-end analytics: ingest → transform semantic datasets → reporting.

Build and optimize batch and streaming ETL pipelines (Databricks/Spark, Delta Lake) and produce performant Power BI datasets and paginated reports.

Ensure data governance and security: enforce Unity Catalog policies, RLS, encryption, access controls, and leverage catalog/metadata tools effectively.

Coordinate and mentor offshore and cross-team resources; gather requirements, prioritize work, and demo deliverables to stakeholders.

Maintain platform reliability: monitoring, observability, automated testing (unit/regression/E2E), data quality checks, and incident response.

Implement CI/CD for notebooks, SQL, models, and reports; automate deployments and APIs for data consumption.

What You’ll Bring to the Role:
Bachelor's Degree or equivalent experience.
7+ years’ experience building production analytics/reporting solutions, with strong Databricks, Power BI background

Proven ability to lead projects, mentor distributed teams, and deliver end-to-end analytics solutions leveraging the technical skills listed above

Skilled at translating business needs into high-performance, accessible technical solutions

Databricks & Spark (production Spark development, partitioning, incremental loads) and Delta Lake Advanced SQL / Spark SQL and Python for ETL, orchestration, and analytics

Power BI (data modeling, DAX, Power Query/M), Power BI Embedded, and SSRS/paginated reports

Real-time fundamentals (Structured Streaming, Kafka/Kinesis or equivalent) and optimizing batch/stream loads

AWS (S3, IAM) with Databricks on AWS;
Unity Catalog experience

Git + CI/CD pipelines, Terraform (or equivalent IaC), and observability tooling

Strong data governance/security (RLS, IAM, encryption)
Agile/JIRA experience and strong stakeholder communication

ML & MLOps: model development/deployment, feature engineering and integrating ML/LLM outputs into reports

Front-end & embedding:
React + Type Script, Power BI Embedded, Kubernetes, custom visuals (Type Script/D3)
Big data/cloud scale:
Lakehouse optimization and Databricks performance tuning; exposure to Snowflake/Redshift/Synapse Dev Ops  & governance at scale: automated testing for pipelines/reports, data lineage/catalog tools (Purview/Glue), cost-optimized cloud design Skills You’ll Have:
Analytical Thinking:
Organizes and compares various aspects of a situation to comprehend and identify key or underlying complex issues using quantitative data and analysis; leverages strong business acumen, problem solving, and interpersonal skills to think critically about situations from multiple perspectives and consistently seeks ways to improve processes.

Analytical Thinking:
Organizes and compares various aspects of a situation to comprehend and identify key or underlying complex issues using quantitative data and analysis; leverages strong business acumen, problem solving, and interpersonal skills to think…