Senior Manager (Engagement Manager), Data Engineering

Job Description

Job Description

Lovelytics is seeking a Databricks-certified skilled consultant with experience delivering and leading strategic Databricks and data engineering client engagements.

This Senior Manager will oversee the success of and play the Engagement Manager role on a portfolio of client engagements on the Data & AI team.

You’ll define project scopes, create project plans, and manage project kick-offs. The senior manager will also manage the performance, career growth, and resources for a team of 3-6 other consultants.

In addition to the leadership capabilities for this role, we are looking for someone who has experience solving complex client problems and providing solutions related to data warehousing, ETL development, data integrations, and data modeling in Databricks.

Location : Lovelytics hires remotely in the following states : MD, DC, CA, IL, IA, IN, MA, NC, TX, TN, GA, CO, NY, NJ, VA, FL, PA, OR and WA with a preference for candidates located near one of our hubs of DC, NY, Austin, Chicago, Nashville,

This role is not open for work sponsorship at this time.

Primary Job Responsibilities :

• Gather and understand requirements from clients to develop a creative and effective technical solution, including at times leading the technical aspect of sales / presales conversations.
• Foster a collaborative work environment on your team, providing direct guidance, assignments, and overall performance and professional development for direct reports.
• Ensure accurate project allocations, forecasting, and ensuring other administrative tasks are completed across the team.
• Establish data governance frameworks, ensuring compliance across all engagements.
• Continue to expand knowledge, and stay up to date on the newest technology, trends, and best practices.
• Apply your skills with Databricks, using Python, and big data streaming to pioneer client technologies and data
• Manage projects to ensure project milestones are reached within the given timeline and budget allocated
• Support other team members on projects, which can oftentimes mean wearing many different hats
• Integrate Databricks with 3rd-party applications to support customers' architectures
• Troubleshoot complex data issues on the fly with prospects and clients

Our Ideal Candidate's Skills and Experiences :

• B.S. in Computer Science or equivalent, MS preferred.
• 8+ years in data engineering working with cloud-based data analytics architectures and 4+ years of experience working in a consulting / professional services organization.
• Proven ability to directly manage a team, providing feedback and career development in a consulting environment.
• Experience leading successful migration of complex data architecture from on-premises to cloud environments.
• Extensive knowledge of data warehousing and data lake concepts and hands-on experience deploying pipelines using Databricks
• Experience developing Machine Learning models or ML Ops processes a plus
• Excellent communication skills are a MUST, all our employees are client-facing, and this role requires both written and verbal client management skills.
• Experience designing architectures within a public cloud (AWS or Azure)
• Hands-on experience with Big Data technologies, including Spark, Hadoop, Cassandra, and others
• Ability to extract and transform data via Python, deep exposure and understanding of data warehousing, ETL pipelines, etc.
• Overall understanding of analytics from analytic engineering to visualization tools
• Databricks Data Engineer Professional and Databricks Machine Learning Professional certifications a plus

What We Promise You :

• Exciting projects with great clients in varying departments and verticals across the world
• The ability to work closely with experienced data engineers and quickly grow and expand your skillset
• The ability to work closely with all sizes of companies, ranging from Fortune 100 to small local businesses
• A workplace where you are encouraged to challenge the status quo and develop new technologies, methodologies, and processes
• A diverse team consisting of data gurus, experience seekers, and entrepreneurial minds that are always pushing to be better

Lovelytics is an Equal Opportunity Employer. This means you don’t have to worry about whether your application process will be fair.

We consider all applicants without regard to race, color, religion, age, ancestry, ethnicity, gender, gender identity, gender expression, sexual orientation, veteran status, or disability.

The salary for this position for candidates in the United States is $135,000-$185,000, however, Lovelytics aims to bring in candidates in the middle of this determined band;

salary determination is based on several different factors including but not limited to years of related experience, skills, and education.

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